CN106382853B - A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law - Google Patents
A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law Download PDFInfo
- Publication number
- CN106382853B CN106382853B CN201610888077.6A CN201610888077A CN106382853B CN 106382853 B CN106382853 B CN 106382853B CN 201610888077 A CN201610888077 A CN 201610888077A CN 106382853 B CN106382853 B CN 106382853B
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- mfrac
- msup
- msubsup
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41G—WEAPON SIGHTS; AIMING
- F41G3/00—Aiming or laying means
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F42—AMMUNITION; BLASTING
- F42B—EXPLOSIVE CHARGES, e.g. FOR BLASTING, FIREWORKS, AMMUNITION
- F42B15/00—Self-propelled projectiles or missiles, e.g. rockets; Guided missiles
- F42B15/01—Arrangements thereon for guidance or control
Abstract
The present invention relates to the singular perturbation suboptimum Guidance Law that a kind of tape terminal trajectory tilt angle and the angle of attack constrain, comprise the following steps:Determine the time scale of system state variables;Establish singular perturbation system;Solve the slow system of zeroth order;Solve the fast system of single order;Single order residual non-uniformity τgoCalculating;The optimum control command acceleration for meeting miss distance, terminal trajectory tilt angle, the angle of attack is calculated, carries out instruction renewal.The invention has the advantages that:Compared with traditional Terminal Guidance Laws, the parsing Guidance Law can meet miss distance, terminal trajectory tilt angle, angle of attack constraint, while meet that energy hole is optimal in flight course;The Guidance Law is solved based on singular perturbation theory, and the optimum control Guidance Law form of acquisition is more succinct, and physical significance is distincter;The Guidance Law provides a kind of new solution throughway for solving complexity high-order optimum control Guidance Law, can carry out the solution of more multiple constraint, has wide applicability.
Description
Technical field
The present invention relates to the singular perturbation suboptimum Guidance Law that a kind of tape terminal trajectory tilt angle and the angle of attack constrain, belong to space flight skill
Art, weapon technologies, Guidance and control field.
Background technology
With the continuous development of operational environment and use demand, present guided missile not only needs full when implementing end strike
The constraint of sufficient miss distance, will also be with optimal posture hit, so as to play the fighting efficiency of warhead to greatest extent, with right
Target causes optimal damage effectiveness, and this is required in terminal guidance, not only to consider miss distance, trajectory tilt angle, terminal-velocity etc. eventually
End constraint, will also constrain the angle of attack, at utmost to reduce projectile penetrating resistance, prevent body unstability and curved trajectory from showing
As occurring.
Based on different theories terminal trajectory tilt angle constraint Guidance Law largely study, precision guided weapon,
More application is obtained on the tactical weapons such as antitank missile, anti-warship guided missle, but for meeting the guidance of terminal angle of attack constraint simultaneously
Rule research is less.Even if guided missile meets that terminal trajectory tilt angle constrains, but if the larger terminal angle of attack be present, when guided missile and mesh
Guided missile " ricochet " phenomenon or penetration trajectory bending can be easily caused during mark collision due to asymmetric impact, is invaded so as to weaken it
Thorough ability.
Singular perturbation theory be 20th century mid-term progressively developed by hydromechanical boundary layer theory, it is hereafter wide
It is general to be applied to solve various optimal control problems.Time scale (state variable of the singular perturbation theory according to system state variables
The relative speed of change), original system is divided into lower order system and some high order systems, the solution of wherein lower order system is relatively simple
It is single, then on the basis of low order solution, boundary layer correction is introduced to high order system, so as to obtain the analytic solutions of arbitrary accuracy.
Xing Qiang, Guidance Law analytic solutions research [D] the BJ University of Aeronautics & Astronautics with terminal point and constraint of velocity,
A kind of terminal point decomposed by markers is disclosed in 2015 chapter 3 content and constrains Guidance Law.In the following theory of the present invention
Terminal angle leash law is referred to as in bright.
The content of the invention
The invention aims to solve the above problems, a kind of the unusual of tape terminal trajectory tilt angle and the angle of attack constraint is proposed
Perturb suboptimum Guidance Law, to meet that the optimum control of miss distance, the constraint of terminal trajectory tilt angle and the constraint of the terminal angle of attack parses simultaneously
Guidance Law.
The Guidance Law is based on singular perturbation theory, the time scale based on system state variables, by the vertical journey of guided missile,
Highly, trajectory tilt angle is divided into slow variable, and acceleration, the angle of attack are divided into fast variable.Vertical journey, height, trajectory tilt angle composition depression of order
The slow system of zeroth order, it is guided missile acceleration that it, which controls variable, by entering line to zero order system, solves slow system linearity two
Secondary type optimal control problem, obtain the optimal control solution (desired optimal guided missile acceleration) of zero order system, the solution of zero order system
Terminal miss distance and the trajectory tilt angle constraint of guided missile can be ensured;Acceleration, the angle of attack composition fast system of single order, in the base of zeroth order solution
On plinth, time scale stretching is carried out, introduces boundary layer correction, be i.e. the fast variable angle of attack constrains, and obtains the optimal finger of revised guided missile
Acceleration is made, this solution can ensure the constraint of Miss Distance, terminal trajectory tilt angle and the angle of attack simultaneously.
, it is necessary to calculate the residual non-uniformity of guided missile during the slow system solution of zeroth order, with remaining distance in the present invention
The ratio of current speed carries out approximate substitution with guided missile;Residual non-uniformity in the fast system of single order, which solves, to be needed to slow system
Residual non-uniformity carry out stretching conversion, the present invention proposes that the speed difference of first-order system and zero order system is due to system
Caused by first-order lag, therefore first-order lag of the residual non-uniformity of first-order system also for the residual non-uniformity of zero order system rings
Should.
The present invention is a kind of singular perturbation suboptimum Guidance Law of tape terminal trajectory tilt angle and the angle of attack constraint, first has to determine shape
The time scale of state variable, provide Second-Order Singular perturbed system;Then, the optimal control solution of the slow system of zeroth order is calculated, is now solved
Analysis solution can meet terminal miss distance and trajectory tilt angle constraint;Finally, substituted into the fast system of single order, carry out time scale drawing
Stretch, and introduce boundary layer correction, obtain the revised higher precision analytic solutions for meeting terminal trajectory tilt angle and angle of attack constraint.It is whole
Individual process includes following steps:
Step 1:Determine the time scale of system state variables
The computational methods of time scale are as follows
Wherein Δ x is state variable x constant interval, is typically calculated with the difference of maxima and minima,For state
Variable x first derivative.The solution of the maximum of state variable, minimum value and first derivative, can be imitated by numerical method
True or other conventional method approximations obtain, and because the time scale order of magnitude difference of state variable is larger, approximate calculation will not shadow
The speed rung to state variable time scale divides.
Step 2:Establish singular perturbation system
Only consider the guidance problems of fore-and-aft plane, by numerical simulation and the calculating of time scale, can by the vertical journey of guided missile,
Highly, trajectory tilt angle regards slow variable as, regards the acceleration of guided missile, the angle of attack as fast variable, establishes the Second-Order Singular perturbation of guided missile
Model
X in formula, h, am,γ,α,acRespectively vertical journey, height, normal acceleration, trajectory tilt angle, the angle of attack and the normal direction of guided missile
Command acceleration,For guided missile vertical journey, height, normal acceleration, trajectory tilt angle and the angle of attack to the derivative of time,
VmIt is constant value for the speed of guided missile, τm,ταRespectively the single order link time constant of guided missile and rate of turn time constant, ε are
It is individual a small amount of and have 0 < ε < < 1.
Meet that the performance indications for the optimum control Guidance Law that miss distance, terminal trajectory tilt angle, the angle of attack constrain are described as
T in formulafThe terminal juncture intersected for guided missile with target, xf,hf,γf,αfJourney, height, trajectory are indulged for Missile Terminal to incline
Angle and angle of attack constraint, x (tf),h(tf),γ(tf),α(tf) in the vertical journey of collision moment, height, trajectory tilt angle and attacked for guided missile
Angle, acFor guided missile normal direction command acceleration, Sx,Sh,Sγ,SαFor the weight coefficient of corresponding state variable bound.
Step 3:Solve the slow system of zeroth order
ε → 0 is made to obtain the reduced order system of original system
The amount of subscript 0 is expressed as zero order system parameter in formula and in full text.As can be seen that there is no attack in zero order system
Horn shape state variable, accelerationAs control variable.Because the angle of attack, command acceleration have not occurred in zero order system, therefore select
Take all the time in the acceleration of optimal value dynamic equilibriumControl variable as zero order system.
System performance index depression of order is
Hamilton functions are
In formulaFor association's state variable of corresponding state variable.
By optimality condition
Line is entered to this zero order system, obtains the system after line
Wherein y1For the relative displacement in vertical direction of guided missile and target, y2It is guided missile and target in vertical direction
Relative velocity.
The system of linearisation can be designated as
Wherein
Performance indications are designated as
Subscript " T " represents the transposition of matrix, X (t in formula and in full textf)=[y1(tf), y2(tf),γ(tf)]TFor system
The state value of terminal juncture, Xf=[y1f,y2f,γf]TConstrained for system terminal.For weight coefficient matrix,
WhereinSγRespectively state variable y1, γ weight coefficient.
Hamilton functions are
Association state matrix be
NoteBy transversality condition
λ(tf)=S [X (tf)-Xf] (13)
Above formula substitution formula (12) is solved into association's state variable matrix is
λ=Φ (tf, t) and S [X (tf)-Xf] (14)
WhereinFor state-transition matrix, and have
T in formulago=tf- t is residual non-uniformity.In the present invention withApproximate substitution, R in formulaTMFor guided missile with
The distance of target.
By optimality index
U=-BTλ=- BT(Φ(tf, t))TS[X(tf)-Xf] (16)
Due to it is determined that control under, Missile Terminal state X (tf) determine, by the control solution substitution system side obtained by above formula
Formula (9) simultaneously carries out State integral and obtained
Arrangement can obtain guided missile and be in the state of terminal juncture
Above formula is substituted into formula (16) to obtain
Weighting weight figure limitSγ→ ∞ is obtained
Due to line-of-sight rate by lineSo it can obtain
This is optimum control Guidance Law after system linearization, is stood good in nonlinear system, now line-of-sight rate by line
Calculate with the following methods
R in formulaTM1,RTM2Respectively missile-target distance RTMComponent in horizontally and vertically direction.
Step 4:Solve the fast system of single order
Carry out time scale stretching conversion, orderAnd allow ε → 0, first-order system equation can be obtained
The amount of subscript 1 is expressed as first-order system parameter in formula and in full text.As can be seen that in first-order system, journey, height are indulged
The rate of change of degree and trajectory tilt angle is 0, because these three variant time yardsticks are much larger than the angle of attack and acceleration, relative to acceleration
It is very slow with angle of attack variation, thus indulge journey in first-order system, height, trajectory tilt angle are approximately constant value, its value and accordingly assist state
The value of variable is equal to the value solved in zero order system.
The performance indications of first-order system are
Hamilton functions are
In formulaλαRespectively state variable am, association's state variable corresponding to α.
By optimality conditionIt can obtain, revised command acceleration should be
As can be seen that being intended to obtain revised acceleration, then association's state variable must be calculatedλαValue.
The co-state equation of first-order system is
NoteThen
The transversality condition of first-order system is
τ in formulafFor the terminal juncture value of first-order system.
It can be obtained by the co-state equation formula (30) on the angle of attack
λα(τ)=λα(τf)=Sα[α(τf)-αf]=constant (33)
That is λαFor the constant value not changed over time, then the co-state equation formula (29) on acceleration can be regarded as on one
Rank system time τ differential equation of first order, solve and substitute into the association's state variable tried to achieve in zero order systemFormula (7) and transversality condition
Formula (31) can obtain association's state variable on acceleration
τ in formulago=τf- τ is the residual non-uniformity of first-order system, for τgoSolution can provide in steps of 5.
It is as follows on τ second time derivative that the angle of attack can be obtained to first-order system equation (25) derivation
The first derivative of command acceleration can be calculated by formula (28) in formula
Can obtain acceleration and the angle of attack by system equation (24) (25) has following relation
Formula (36) (37) substitution formula (35) then can be obtained into the second order differential equation containing only the angle of attack
Solve
Wherein C1,C2For constant value.
The current time angle of attack and angle of attack derivative state value α (τ)=α, α ' (τ)=α ' are substituted into, can calculate and try to achieve terminal juncture
τfWhen angle of attack value
In addition, by transversality condition formula (33) and to weight coefficient SαTake limit Sα→ ∞, the desired terminal juncture angle of attack can be obtained
For
Then more than simultaneous two formulas (40) (41) can obtain is on association's state variable of the angle of attack
The association's state variable that will have been tried to achieveλαIt is updated to the satisfaction that can be obtained in revised command acceleration formula (28) finally
The optimum control Guidance Law of institute's Prescribed Properties
It is abbreviated as
Wherein
Step 5:Single order residual non-uniformity τgoCalculating
Single order residual non-uniformity has following relation with zeroth order residual non-uniformity
Wherein, τTFor time delay constant.
Substitute into τgo=τfIt is as follows on zeroth order temporal t differential equation of first order that-τ can obtain single order time τ
Solve and substitute into the single order time τ (t that τ (t)=τ obtains terminal juncturef) be
Due to τ (tf)=τf, tgo=tf-t0, arrangement can obtain single order residual non-uniformity and be
Step 6:The optimum control command acceleration for meeting miss distance, terminal trajectory tilt angle, the angle of attack is calculated, is instructed more
Newly.
Wherein
Due to differential term α ' in Guidance Law be present, Guidance Law can be caused to instruct the vibration in end by a relatively large margin, so as to make
Into more energy expenditure.Therefore, the present invention is guidanceed command to this is modified, to weaken oscillation effect caused by differential term.
It is observed that the factor of influence of differential term is its coefficient 1-k, it is a parameter changed with residual non-uniformity, there is (1-k) <
1, and when residual non-uniformity level off to 0 when, 1-k also levels off to 0.If can largely it be weakened using its cubic form
Influence of the differential term to guidanceing command, so as to effectively suppress end instruction vibration.Then it is revised guidance command for
Wherein
If ignoring influence of the angle of attack derivative to command acceleration amendment, the Guidance Law can be further simplified as
Wherein system
A kind of tape terminal trajectory tilt angle of the present invention and the singular perturbation suboptimum Guidance Law of angle of attack constraint, the advantage is that:
(1) miss distance, terminal trajectory tilt angle, the angle of attack can be met about compared with traditional Terminal Guidance Laws, the parsing Guidance Law
Beam, while meet that energy hole is optimal in flight course;
(2) Guidance Law is solved based on singular perturbation theory, and the optimum control Guidance Law form of acquisition is more succinct, thing
It is distincter to manage meaning.
(3) Guidance Law provides a kind of new solution throughway, Ke Yijin for solving complexity high-order optimum control Guidance Law
The solution of row more multiple constraint, has wide applicability.
Brief description of the drawings
Fig. 1 is missile guidance schematic diagram.
Fig. 2 is Guidance Law instruction product process figure of the present invention.
Fig. 3 is that the Guidance Law contrasts with terminal angle leash law and the results of trajectory simulation of Gauss puppet spectrometry (numerical method).
Fig. 4 is the Guidance Law and terminal angle leash law and the trajectory tilt angle simulation result pair of Gauss puppet spectrometry (numerical method)
Than.
Fig. 5 is that the Guidance Law contrasts with the angle of attack simulation result of terminal angle leash law and Gauss puppet spectrometry (numerical method).
Embodiment
Below in conjunction with drawings and examples, the present invention is described in further detail.
The present invention is a kind of singular perturbation suboptimum Guidance Law of tape terminal trajectory tilt angle and the angle of attack constraint, first has to determine shape
The time scale of state variable, provide Second-Order Singular perturbed system;Then, the optimal control solution of the slow system of zeroth order is calculated, is now solved
Analysis solution can meet terminal miss distance and trajectory tilt angle constraint;Finally, substituted into the fast system of single order, carry out time scale drawing
Stretch, and introduce boundary layer correction, obtain the revised higher precision analytic solutions for meeting terminal trajectory tilt angle and angle of attack constraint.It is whole
Individual process includes following steps:
Step 1:Determine the time scale of system state variables
Time scale is defined as inverse of the state variable with maximum " speed " through the time in its maximum variable section, this
In " speed " for state variable for the time derivative.Time scale is bigger, shows that " speed " of variable change is faster, if
The order of magnitude difference of two time scales is larger, then can be classified as different time scales and carry out stepwise disposal.Time scale
It is expressed as
Wherein Δ x is state variable x constant interval, is typically calculated with the difference of maxima and minima,For state
First derivatives of the variable x to the time.The solution of the maximum of state variable, minimum value and first derivative, can pass through numerical value
Method emulates or other conventional method approximations obtain, because the time scale order of magnitude of state variable differs larger, approximate calculation
The speed division of state variable time scale is not interfered with.
Step 2:Establish singular perturbation system
The present invention only considers the guidance problems of fore-and-aft plane, by numerical simulation and the calculating of time scale, system variable
Time scale size it is as shown in table 1 below, the vertical journey, height, trajectory tilt angle of guided missile can be divided into slow variable accordingly, by guided missile
Acceleration, the angle of attack be divided into fast variable, establish the Second-Order Singular perturbation model of guided missile
X in formula, h, am,γ,α,acRespectively vertical journey, height, normal acceleration, trajectory tilt angle, the angle of attack and the normal direction of guided missile
Command acceleration,For guided missile vertical journey, height, normal acceleration, trajectory tilt angle and the angle of attack to the derivative of time,
VmIt is a constant value for the speed of guided missile, τm,ταThe respectively single order link time constant and rate of turn time constant of guided missile, ε
It is an a small amount of and 0 < ε < < 1.
Table 1
Meet that the performance indications for the optimum control Guidance Law that miss distance, terminal trajectory tilt angle, the angle of attack constrain are described as
T in formulafThe terminal juncture intersected for guided missile with target, xf,hf,γf,αfJourney, height, trajectory are indulged for Missile Terminal to incline
Angle and angle of attack constraint, x (tf),h(tf),γ(tf),α(tf) in the vertical journey of collision moment, height, trajectory tilt angle and attacked for guided missile
Angle, acFor guided missile normal direction command acceleration, Sx,Sh,Sγ,SαFor the weight coefficient of corresponding state variable bound.
Step 3:Solve the slow system of zeroth order
ε → 0 is made to obtain the reduced order system of original system
The amount of subscript 0 is expressed as zero order system parameter in formula and in full text.As can be seen that there is no attack in zero order system
Horn shape state variable, accelerationAs control variable.This is due to the significantly larger than vertical journey of the time scale of the angle of attack and acceleration, height
Degree and trajectory tilt angle, the response time to optimal value in the time scale of zero order system is that can ignore in a small amount, it is thus regarded that
In the fast variable angle of attack and the acceleration dynamic equilibrium in optimal value all the time.Because the angle of attack, command acceleration be not in zeroth order system
Occur in system, therefore choose all the time in the acceleration of optimal value dynamic equilibriumControl variable as zero order system.
System performance index depression of order is
Hamilton functions are
In formulaFor association's state variable of corresponding state variable.
By optimality condition
Line is entered to this zero order system, obtains the system after line
Wherein y1For the relative displacement in vertical direction of guided missile and target, y2It is guided missile and target in vertical direction
Relative velocity.
The system of linearisation can be designated as
Wherein
Performance indications are designated as
Subscript " T " represents the transposition of matrix, X (t in formula and in full textf)=[y1(tf), y2(tf),γ(tf)]TFor system
The state value of terminal juncture, Xf=[y1f,y2f,γf]TConstrained for system terminal,.For weight coefficient matrix,
WhereinSγRespectively state variable y1, γ weight coefficient.
Hamilton functions are
Association state matrix be
NoteBy transversality condition
λ(tf)=S [X (tf)-Xf] (13)
Above formula is substituted into formula (12), solving association's state variable matrix is
λ=Φ (tf,t)S[X(tf)-Xf] (14)
WhereinFor state-transition matrix, and have
T in formulago=tf- t is residual non-uniformity.In the present invention withApproximate substitution, R in formulaTMFor guided missile with
The distance of target.
By optimality index
U=-BTλ=- BT(Φ(tf, t))TS[X(tf)-Xf] (16)
Due to it is determined that control under, Missile Terminal state X (tf) determine, by the control solution substitution system side obtained by above formula
Formula (9) simultaneously carries out State integral and obtained
Arrangement can obtain guided missile and be in the state of terminal juncture
Above formula is substituted into formula (16) to obtain
Weighting weight figure limitSγ→ ∞ is obtained
Due to line-of-sight rate by lineSo it can obtain
This is optimum control Guidance Law after system linearization, is stood good in nonlinear system, now line-of-sight rate by line
Calculate with the following methods
R in formulaTM1,RTM2Respectively missile-target distance RTMComponent in horizontally and vertically direction.
Step 4:Solve the fast system of single order
Carry out time scale stretching conversion, orderAnd allow ε → 0, first-order system equation can be obtained
The amount of subscript 1 is expressed as first-order system parameter in formula and in full text.As can be seen that in first-order system, journey, height are indulged
The rate of change of degree and trajectory tilt angle is 0, because these three variant time yardsticks are much larger than the angle of attack and acceleration, relative to acceleration
It is very slow with angle of attack variation, thus indulge journey in first-order system, height, trajectory tilt angle are approximately constant value, its value and accordingly assist state
The value of variable is equal to the value solved in zero order system.
The performance indications of first-order system are
Hamilton functions are
In formulaλαRespectively state variable am, association's state variable corresponding to α.
By optimality conditionIt can obtain, revised command acceleration should be
As can be seen that being intended to obtain revised acceleration, then association's state variable must be calculatedλαValue.
The co-state equation of first-order system is
NoteThen
The transversality condition of first-order system is
τ in formulafFor the terminal juncture value of first-order system.
It can be obtained by the co-state equation formula (30) on the angle of attack
λα(τ)=λα(τf)=Sα[α(τf)-αf]=constant (33)
That is λαFor the constant value not changed over time, then the co-state equation formula (29) on acceleration can be regarded as on one
Rank system time τ differential equation of first order, solve and substitute into the association's state variable tried to achieve in zero order systemFormula (7) and transversality condition
Formula (31) can obtain association's state variable on acceleration
τ in formulago=τf- τ is the residual non-uniformity of first-order system, for τgoSolution can provide in steps of 5.
It is as follows on τ second time derivative that the angle of attack can be obtained to first-order system equation (25) derivation
The first derivative of command acceleration can be calculated by formula (28) in formula
Can obtain acceleration and the angle of attack by system equation (24) (25) has following relation
Formula (36) (37) substitution formula (35) then can be obtained into the second order differential equation containing only the angle of attack
Solve
Wherein C1,C2For constant value.
The current time angle of attack and angle of attack derivative state value α (τ)=α, α ' (τ)=α ' are substituted into, can calculate and try to achieve terminal juncture
τfWhen angle of attack value
In addition, by transversality condition formula (33) and to weight coefficient SαTake limit Sα→ ∞, the desired terminal juncture angle of attack can be obtained
For
Then more than simultaneous two formulas (40) (41) can obtain is on association's state variable of the angle of attack
The association's state variable that will have been tried to achieveλαIt is updated to the satisfaction that can be obtained in revised command acceleration formula (28) finally
The optimum control Guidance Law of institute's Prescribed Properties
It is abbreviated as
Wherein
Step 5:Single order residual non-uniformity τgoCalculating
Caused by proposition first-order system and the speed difference of zero order system are due to the first-order lag of system in the present invention, therefore
First-order lag of the residual non-uniformity of first-order system also for the residual non-uniformity of zero order system responds, i.e. the remaining flight of single order
There is following relation time with zeroth order residual non-uniformity
Wherein, τTFor time delay constant.
Substitute into τgo=τfIt is as follows on zeroth order temporal t differential equation of first order that-τ can obtain single order time τ
Solve and substitute into the single order time τ (t that τ (t)=τ obtains terminal juncturef) be
Due to τ (tf)=τf, tgo=tf-t0, arrangement can obtain single order residual non-uniformity and be
Step 6:The optimum control command acceleration for meeting miss distance, terminal trajectory tilt angle, the angle of attack is calculated, is instructed more
Newly.
Wherein
Due to differential term α ' in Guidance Law be present, Guidance Law can be caused to instruct the vibration in end by a relatively large margin, so as to make
Into more energy expenditure.Therefore, the present invention is guidanceed command to this is modified, to weaken oscillation effect caused by differential term.
It is observed that the factor of influence of differential term is its coefficient 1-k, it is a parameter changed with residual non-uniformity, there is (1-k) <
1, and when residual non-uniformity level off to 0 when, 1-k also levels off to 0.If can largely it be weakened using its cubic form
Influence of the differential term to guidanceing command, so as to effectively suppress end instruction vibration.Then it is revised guidance command for
Wherein
If ignoring influence of the angle of attack derivative to command acceleration amendment, the Guidance Law can be further simplified as
Wherein system
The Guidance Law has more succinct form and physical significance, and Guidance Law Section 1 is relevant with terminal angle of attack constraint,
Section 2 is relevant with miss distance, and Section 3 is then relevant with terminal trajectory tilt angle constraint.The expression formula of Guidance Law is explicit Guidance, with
Trajectory shaping Guidance Law has similar expression way, but ignores influence of the angle of attack derivative to end-fixity, can bring larger mistake
Difference, therefore still emulated in the embodiment of the present invention using the command acceleration of formula (50) without reduced form.
Embodiment:
This implementation requires guided missile in Trajectory-terminal with desired trajectory tilt angle and the angle of attack and optimal energy expenditure hit mesh
Mark, embodiment are emulated respectively using Guidance Law of the present invention with Gauss puppet spectrometry numerical method.Numerical solution is generally it can be thought that be
Theoretical optimal solution, but typically because its is computationally intensive, needs off-line calculation without the real-time command solution frequently as guided missile.The present invention
Guidance Law is parsing Guidance Law, by being contrasted with the Numerical Simulation Results of Gauss puppet spectrometry, can verify Guidance Law of the present invention with
The Approximation effect of optimal solution and effect is met to end conswtraint, contrasted with terminal angle constraint Guidance Law simulation result, Ke Yifa
Existing Guidance Law of the present invention has preferable guidance performance compared to conventional analytic Guidance Law.The initiation parameter and target component of guided missile
It is as shown in table 2 below.
Table 2
By simulation result Fig. 3-5 as can be seen that the Guidance Law based on singular perturbation theory can be guided and led in the present invention
Hit is played, and meets miss distance, terminal trajectory tilt angle, angle of attack constraint, demonstrates the validity of this Guidance Law;Simultaneously with height
The optimum value solution similarity degree that this pseudo- spectrometry searches is higher, demonstrates this parsing Guidance Law and has to optimal solution and approaches well
Property, with terminal angle constraint Guidance Law contrast, illustrate that the relatively conventional parsing Guidance Law of this parsing Guidance Law has preferably guidance
Performance.The Missile Terminal state being given in Table 3 below under the effect of this Guidance Law, it can be seen that end error is smaller, can be very
Good meets end conswtraint condition.
Table 3.
Claims (1)
1. a kind of tape terminal trajectory tilt angle and the singular perturbation suboptimum Guidance Law of angle of attack constraint, including following steps:
Step 1:Determine the time scale of system state variables
The computational methods of time scale are as follows
<mrow>
<msub>
<mi>S</mi>
<mi>x</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
<mrow>
<mo>(</mo>
<mover>
<mi>x</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>&Delta;</mi>
<mi>x</mi>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein Δ x is state variable x constant interval, is typically calculated with the difference of maxima and minima,For state variable
X first derivative;
Step 2:Establish singular perturbation system
Only consider the guidance problems of fore-and-aft plane, by numerical simulation and the calculating of time scale, by the vertical journey of guided missile, height,
Trajectory tilt angle regards slow variable as, regards the acceleration of guided missile, the angle of attack as fast variable, establishes the Second-Order Singular perturbation model of guided missile
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<mover>
<mi>x</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>cos</mi>
<mi>&gamma;</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>h</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>sin</mi>
<mi>&gamma;</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&epsiv;</mi>
<msub>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>m</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<msub>
<mi>a</mi>
<mi>c</mi>
</msub>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>&gamma;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&epsiv;</mi>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<msub>
<mi>a</mi>
<mi>c</mi>
</msub>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
X in formula, h, am,γ,α,acThe respectively vertical journey of guided missile, height, normal acceleration, trajectory tilt angle, the angle of attack and normal direction instruction
Acceleration,For guided missile vertical journey, height, normal acceleration, trajectory tilt angle and the angle of attack to the derivative of time, VmFor
The speed of guided missile, is constant value, τm,ταThe respectively single order link time constant and rate of turn time constant of guided missile, ε are individual small
Measure and there are 0 < ε < < 1;
Meet that the performance indications for the optimum control Guidance Law that miss distance, terminal trajectory tilt angle, the angle of attack constrain are described as
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<mi>J</mi>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>x</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>x</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>h</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>h</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>h</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>&gamma;</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>&gamma;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<msup>
<mrow>
<mo>(</mo>
<msub>
<mi>a</mi>
<mi>c</mi>
</msub>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mi>d</mi>
<mi>&tau;</mi>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
T in formulafThe terminal juncture intersected for guided missile with target, xf,hf,γf,αfFor Missile Terminal indulge journey, height, trajectory tilt angle and
The angle of attack constrains, x (tf),h(tf),γ(tf),α(tf) for guided missile in vertical journey, height, trajectory tilt angle and the angle of attack of collision moment, ac
For guided missile normal direction command acceleration, Sx,Sh,Sγ,SαFor the weight coefficient of corresponding state variable bound;
Step 3:Solve the slow system of zeroth order
ε → 0 is made to obtain the reduced order system of original system
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<mover>
<mi>x</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&gamma;</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>h</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>sin</mi>
<mi>&gamma;</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>&gamma;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
The amount of subscript 0 is expressed as zero order system parameter in formula;There is no angle of attack state variable, acceleration in zero order systemInto
To control variable;Because the angle of attack, command acceleration have not occurred in zero order system, therefore choose all the time in optimal value dynamic equilibrium
AccelerationControl variable as zero order system;
System performance index depression of order is
<mrow>
<msup>
<mi>J</mi>
<mn>0</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>x</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>x</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>h</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>h</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>h</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>&gamma;</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>&gamma;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mi>d</mi>
<mi>&tau;</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
Hamilton functions are
<mrow>
<msup>
<mi>H</mi>
<mn>0</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>x</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&gamma;</mi>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>h</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>sin</mi>
<mi>&gamma;</mi>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>&gamma;</mi>
<mn>0</mn>
</msubsup>
<mfrac>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
In formulaFor association's state variable of corresponding state variable;
By optimality condition
<mrow>
<msubsup>
<mi>&lambda;</mi>
<mi>&gamma;</mi>
<mn>0</mn>
</msubsup>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
Line is entered to this zero order system, obtains the system after line
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>y</mi>
<mo>&CenterDot;</mo>
</mover>
<mn>1</mn>
</msub>
<mo>=</mo>
<msub>
<mi>y</mi>
<mn>2</mn>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mover>
<mi>y</mi>
<mo>&CenterDot;</mo>
</mover>
<mn>2</mn>
</msub>
<mo>=</mo>
<mo>-</mo>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>&gamma;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein y1For the relative displacement in vertical direction of guided missile and target, y2It is guided missile and target in the relative of vertical direction
Speed;
The system of linearisation is designated as
<mrow>
<mover>
<mi>X</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mi>A</mi>
<mi>X</mi>
<mo>+</mo>
<mi>B</mi>
<mi>u</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein
Performance indications are designated as
<mrow>
<msup>
<mi>J</mi>
<mn>0</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>X</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mi>T</mi>
</msup>
<mi>S</mi>
<mo>&lsqb;</mo>
<mi>X</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
<mo>+</mo>
<msubsup>
<mo>&Integral;</mo>
<msub>
<mi>t</mi>
<mn>0</mn>
</msub>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<msup>
<mi>u</mi>
<mn>2</mn>
</msup>
<mi>d</mi>
<mi>&tau;</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>10</mn>
<mo>)</mo>
</mrow>
</mrow>
Subscript " T " represents the transposition of matrix, X (t in formulaf)=[y1(tf),y2(tf),γ(tf)]TFor the state at system terminal moment
Value, Xf=[y1f,y2f,γf]TConstrained for system terminal;For weight coefficient matrix, wherein Sy1,SγRespectively
State variable y1, γ weight coefficient;
Hamilton functions are
<mrow>
<msup>
<mi>H</mi>
<mn>0</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msup>
<mi>u</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<mi>&lambda;</mi>
<mi>T</mi>
</msup>
<mrow>
<mo>(</mo>
<mi>A</mi>
<mi>X</mi>
<mo>+</mo>
<mi>B</mi>
<mi>u</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>11</mn>
<mo>)</mo>
</mrow>
</mrow>
Association state matrix be
<mrow>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<mo>&part;</mo>
<msup>
<mi>H</mi>
<mn>0</mn>
</msup>
</mrow>
<mrow>
<mo>&part;</mo>
<mi>X</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mo>-</mo>
<msup>
<mi>A</mi>
<mi>T</mi>
</msup>
<mi>&lambda;</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>12</mn>
<mo>)</mo>
</mrow>
</mrow>
2
NoteBy transversality condition
λ(tf)=S [X (tf)-Xf] (13)
Above formula substitution formula (12) is solved into association's state variable matrix is
λ=Φ (tf,t)S[X(tf)-Xf] (14)
WhereinFor state-transition matrix, and have
<mrow>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>15</mn>
<mo>)</mo>
</mrow>
</mrow>
T in formulago=tf- t is residual non-uniformity;WithApproximate substitution, R in formulaTMFor guided missile and the distance of target;
By optimality index
U=-BTλ=- BT(Φ(tf,t))TS[X(tf)-Xf] (16)
Due to it is determined that control under, Missile Terminal state X (tf) determine, the control solution obtained by above formula is substituted into system equation
(9) and carry out State integral and obtain
<mrow>
<mi>X</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mi>X</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msubsup>
<mo>&Integral;</mo>
<mi>t</mi>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>&tau;</mi>
<mo>)</mo>
</mrow>
<msup>
<mi>BB</mi>
<mi>T</mi>
</msup>
<msup>
<mrow>
<mo>(</mo>
<mi>&Phi;</mi>
<mo>(</mo>
<mrow>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mi>S</mi>
<mo>&lsqb;</mo>
<mi>X</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
<mi>d</mi>
<mi>&tau;</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>17</mn>
<mo>)</mo>
</mrow>
</mrow>
Arrangement obtains guided missile and is in the state of terminal juncture
<mrow>
<mi>X</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>I</mi>
<mo>+</mo>
<msubsup>
<mo>&Integral;</mo>
<mi>t</mi>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>&tau;</mi>
<mo>)</mo>
</mrow>
<msup>
<mi>BB</mi>
<mi>T</mi>
</msup>
<msup>
<mrow>
<mo>(</mo>
<mi>&Phi;</mi>
<mo>(</mo>
<mrow>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mi>S</mi>
<mi>d</mi>
<mi>&tau;</mi>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>&lsqb;</mo>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mi>X</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
<mo>+</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>18</mn>
<mo>)</mo>
</mrow>
</mrow>
Above formula is substituted into formula (16) to obtain
<mrow>
<mi>u</mi>
<mo>=</mo>
<mo>-</mo>
<msup>
<mi>B</mi>
<mi>T</mi>
</msup>
<msup>
<mrow>
<mo>(</mo>
<mi>&Phi;</mi>
<mo>(</mo>
<mrow>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mi>S</mi>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>I</mi>
<mo>+</mo>
<msubsup>
<mo>&Integral;</mo>
<mi>t</mi>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</msubsup>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>&tau;</mi>
<mo>)</mo>
</mrow>
<msup>
<mi>BB</mi>
<mi>T</mi>
</msup>
<msup>
<mrow>
<mo>(</mo>
<mi>&Phi;</mi>
<mo>(</mo>
<mrow>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mi>T</mi>
</msup>
<mi>S</mi>
<mi>d</mi>
<mi>&tau;</mi>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>&lsqb;</mo>
<mi>&Phi;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>,</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mi>X</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>X</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>19</mn>
<mo>)</mo>
</mrow>
</mrow>
Weighting weight figure limitSγ→ ∞ is obtained
<mrow>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>=</mo>
<mi>u</mi>
<mo>=</mo>
<mfrac>
<mn>6</mn>
<msubsup>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
<mn>2</mn>
</msubsup>
</mfrac>
<mrow>
<mo>(</mo>
<msub>
<mi>y</mi>
<mn>1</mn>
</msub>
<mo>+</mo>
<msub>
<mi>y</mi>
<mn>2</mn>
</msub>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>20</mn>
<mo>)</mo>
</mrow>
</mrow>
Due to line-of-sight rate by lineSo obtain
<mrow>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>=</mo>
<mn>6</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>+</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>21</mn>
<mo>)</mo>
</mrow>
</mrow>
This be system linearization after optimum control Guidance Law, stood good in nonlinear system, now line-of-sight rate by line to
Under type calculates
<mrow>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>R</mi>
<mrow>
<mi>T</mi>
<mi>M</mi>
<mn>2</mn>
</mrow>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>R</mi>
<mrow>
<mi>T</mi>
<mi>M</mi>
<mn>1</mn>
</mrow>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
<mi>&gamma;</mi>
</mrow>
<msubsup>
<mi>R</mi>
<mrow>
<mi>T</mi>
<mi>M</mi>
</mrow>
<mn>2</mn>
</msubsup>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>22</mn>
<mo>)</mo>
</mrow>
</mrow>
R in formulaTM1,RTM2Respectively missile-target distance RTMComponent in horizontally and vertically direction;
Step 4:Solve the fast system of single order
Carry out time scale stretching conversion, orderAnd allow ε → 0, obtain first-order system equation
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<mover>
<mi>x</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>h</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mover>
<mi>&gamma;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>23</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>m</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>24</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>25</mn>
<mo>)</mo>
</mrow>
</mrow>
The amount of subscript 1 is expressed as first-order system parameter in formula;In first-order system, the rate of change of journey, height and trajectory tilt angle is indulged
It is very slow relative to acceleration and angle of attack variation because these three variant time yardsticks are much larger than the angle of attack and acceleration for 0,
Therefore it is approximately constant value that journey, height, trajectory tilt angle are indulged in first-order system, the value of its value and corresponding association's state variable is equal in zeroth order system
The value solved in system;
The performance indications of first-order system are
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msup>
<mi>J</mi>
<mn>1</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>x</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>x</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>h</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>h</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>h</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>&gamma;</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>&gamma;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msub>
<mi>S</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
</msubsup>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mi>d</mi>
<mi>&tau;</mi>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>26</mn>
<mo>)</mo>
</mrow>
</mrow>
Hamilton functions are
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msup>
<mi>H</mi>
<mn>1</mn>
</msup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
<msup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>x</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&gamma;</mi>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>h</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
<mi>&gamma;</mi>
<mo>+</mo>
<msub>
<mi>&lambda;</mi>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<mfrac>
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>+</mo>
<msubsup>
<mi>&lambda;</mi>
<mi>&gamma;</mi>
<mn>0</mn>
</msubsup>
<mfrac>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>+</mo>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<mrow>
<mo>(</mo>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>-</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>27</mn>
<mo>)</mo>
</mrow>
</mrow>
In formulaλαRespectively state variable am, association's state variable corresponding to α;
By optimality conditionDraw, revised command acceleration should be
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<msub>
<mi>&lambda;</mi>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<mo>+</mo>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>28</mn>
<mo>)</mo>
</mrow>
</mrow>
It is intended to obtain revised acceleration, then must calculates association's state variableλαValue;
The co-state equation of first-order system is
<mrow>
<msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<mo>&part;</mo>
<msup>
<mi>H</mi>
<mn>1</mn>
</msup>
</mrow>
<mrow>
<mo>&part;</mo>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<msub>
<mi>&lambda;</mi>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>-</mo>
<mfrac>
<msubsup>
<mi>&lambda;</mi>
<mi>&gamma;</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>29</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>&alpha;</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<mo>&part;</mo>
<msup>
<mi>H</mi>
<mn>1</mn>
</msup>
</mrow>
<mrow>
<mo>&part;</mo>
<mi>&alpha;</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mn>0</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>30</mn>
<mo>)</mo>
</mrow>
</mrow>
NoteThen
The transversality condition of first-order system is
<mrow>
<msub>
<mi>&lambda;</mi>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mn>0</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>31</mn>
<mo>)</mo>
</mrow>
</mrow>
4
<mrow>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mo>&part;</mo>
<msup>
<mi>&phi;</mi>
<mn>1</mn>
</msup>
</mrow>
<mrow>
<mo>&part;</mo>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<msub>
<mi>S</mi>
<mi>&alpha;</mi>
</msub>
<mo>&lsqb;</mo>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>&rsqb;</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>32</mn>
<mo>)</mo>
</mrow>
</mrow>
τ in formulafFor the terminal juncture value of first-order system;
Obtained by the co-state equation formula (30) on the angle of attack
λα(τ)=λα(τf)=Sα[α(τf)-αf]=constant (33)
That is λαFor the constant value not changed over time, then when the co-state equation formula (29) on acceleration is regarded as on first-order system
Between τ differential equation of first order, solve and substitute into the association's state variable tried to achieve in zero order systemFormula (7) obtains with transversality condition formula (31)
To association's state variable on acceleration
<mrow>
<msub>
<mi>&lambda;</mi>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<mo>=</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>+</mo>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>)</mo>
</mrow>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>34</mn>
<mo>)</mo>
</mrow>
</mrow>
τ in formulago=τf- τ is the residual non-uniformity of first-order system, for τgoSolution can provide in steps of 5;
It is as follows on τ second time derivative that the angle of attack is obtained to first-order system equation (25) derivation
<mrow>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mo>=</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mrow>
<mo>(</mo>
<msubsup>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>-</mo>
<msub>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>m</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>35</mn>
<mo>)</mo>
</mrow>
</mrow>
The first derivative of command acceleration is calculated by formula (28) in formula
<mrow>
<msubsup>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<msub>
<mi>a</mi>
<mi>m</mi>
</msub>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>=</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>+</mo>
<mfrac>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mo>)</mo>
</mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>36</mn>
<mo>)</mo>
</mrow>
</mrow>
Obtaining acceleration and the angle of attack by system equation (24) (25) has following relation
<mrow>
<msub>
<mover>
<mi>a</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>m</mi>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
</mfrac>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>37</mn>
<mo>)</mo>
</mrow>
</mrow>
Formula (36) (37) is then substituted into formula (35) and obtains the second order differential equation containing only the angle of attack
<mrow>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;&CenterDot;</mo>
</mover>
<mo>+</mo>
<mfrac>
<mn>1</mn>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
<mover>
<mi>&alpha;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>=</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>&alpha;</mi>
<mn>2</mn>
</msubsup>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>m</mi>
<mn>3</mn>
</msubsup>
<msubsup>
<mi>V</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
</mrow>
</mfrac>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
</mrow>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>38</mn>
<mo>)</mo>
</mrow>
</mrow>
Solve
<mrow>
<mi>&alpha;</mi>
<mo>=</mo>
<msub>
<mi>C</mi>
<mn>1</mn>
</msub>
<mo>+</mo>
<msub>
<mi>C</mi>
<mn>2</mn>
</msub>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<mi>&tau;</mi>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>&alpha;</mi>
<mn>2</mn>
</msubsup>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<mn>2</mn>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>V</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
</mrow>
</mfrac>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
</mrow>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>39</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein C1,C2For constant value;
The current time angle of attack and angle of attack derivative state value α (τ)=α, α ' (τ)=α ' are substituted into, terminal juncture τ is tried to achieve in calculatingfWhen attack
Angle value
<mrow>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>&alpha;</mi>
<mo>+</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msubsup>
<mi>&tau;</mi>
<mi>&alpha;</mi>
<mn>2</mn>
</msubsup>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
</mrow>
<mrow>
<mn>2</mn>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>V</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
</mrow>
</mfrac>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
</mrow>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>40</mn>
<mo>)</mo>
</mrow>
</mrow>
In addition, by transversality condition formula (33) and to weight coefficient SαTake limit Sα→ ∞, obtaining the desired terminal juncture angle of attack is
<mrow>
<mi>&alpha;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<munder>
<mi>lim</mi>
<mrow>
<msub>
<mi>S</mi>
<mi>&alpha;</mi>
</msub>
<mo>&RightArrow;</mo>
<mi>&infin;</mi>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<mfrac>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
<msub>
<mi>S</mi>
<mi>&alpha;</mi>
</msub>
</mfrac>
<mo>+</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>41</mn>
<mo>)</mo>
</mrow>
</mrow>
Then more than simultaneous two formulas (40) (41) obtain be on association's state variable of the angle of attack
<mrow>
<msub>
<mi>&lambda;</mi>
<mi>&alpha;</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>V</mi>
<mi>m</mi>
<mn>2</mn>
</msubsup>
<mo>&lsqb;</mo>
<mi>&alpha;</mi>
<mo>-</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>+</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mfrac>
<mo>-</mo>
<mfrac>
<mrow>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>42</mn>
<mo>)</mo>
</mrow>
</mrow>
The association's state variable that will have been tried to achieveλαIt is updated to and obtains final satisfaction in revised command acceleration formula (28) and own
The optimum control Guidance Law of constraints
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>&lsqb;</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mi>&alpha;</mi>
<mo>-</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>+</mo>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>43</mn>
<mo>)</mo>
</mrow>
</mrow>
It is abbreviated as
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>k</mi>
<mo>&lsqb;</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mi>&alpha;</mi>
<mo>-</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>+</mo>
<msubsup>
<mi>a</mi>
<mi>m</mi>
<mn>0</mn>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>44</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein
Step 5:Single order residual non-uniformity τgoCalculating
Single order residual non-uniformity has following relation with zeroth order residual non-uniformity
<mrow>
<mfrac>
<mrow>
<msub>
<mi>d&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>45</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, τTFor time delay constant;
Substitute into τgo=τfIt is as follows on zeroth order temporal t differential equation of first order that-τ obtains single order time τ
<mrow>
<mfrac>
<mrow>
<mi>d</mi>
<mi>&tau;</mi>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
<mo>+</mo>
<mfrac>
<mi>&tau;</mi>
<msub>
<mi>&tau;</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>46</mn>
<mo>)</mo>
</mrow>
</mrow>
Solve and substitute into the single order time τ (t that τ (t)=τ obtains terminal juncturef) be
<mrow>
<mi>&tau;</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<msup>
<mi>e</mi>
<mfrac>
<mrow>
<mi>t</mi>
<mo>-</mo>
<msub>
<mi>t</mi>
<mi>f</mi>
</msub>
</mrow>
<msub>
<mi>&tau;</mi>
<mi>T</mi>
</msub>
</mfrac>
</msup>
<mo>+</mo>
<msub>
<mi>&tau;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>47</mn>
<mo>)</mo>
</mrow>
</mrow>
Due to τ (tf)=τf, tgo=tf-t0, arrangement obtains single order residual non-uniformity and is
<mrow>
<msub>
<mi>&tau;</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
<msub>
<mi>&tau;</mi>
<mi>T</mi>
</msub>
</mfrac>
</mrow>
</msup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>48</mn>
<mo>)</mo>
</mrow>
</mrow>
Step 6:The optimum control command acceleration for meeting miss distance, terminal trajectory tilt angle, the angle of attack is calculated, carries out instruction renewal;
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>k</mi>
<mo>&lsqb;</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mi>&alpha;</mi>
<mo>-</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>+</mo>
<mn>6</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>+</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>49</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein
Due to differential term α ' in Guidance Law be present, Guidance Law can be caused to instruct vibration in end by a relatively large margin, so as to cause compared with
More energy expenditures;Therefore, this is guidanceed command and be modified, to weaken oscillation effect caused by differential term;The shadow of differential term
It is its coefficient 1-k to ring the factor, is a parameter changed with residual non-uniformity, has (1-k) < 1, and work as residual non-uniformity
Level off to 0 when, 1-k also levels off to 0;Differential term can largely be weakened to the shadow guidanceed command using its cubic form
Ring, so as to effectively suppress end instruction vibration;Then it is revised guidance command for
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mi>k</mi>
<mo>&lsqb;</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mi>&alpha;</mi>
<mo>-</mo>
<msup>
<mi>&alpha;</mi>
<mo>&prime;</mo>
</msup>
<msub>
<mi>&tau;</mi>
<mi>m</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mn>3</mn>
</msup>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<msub>
<mi>&tau;</mi>
<mi>&alpha;</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>+</mo>
<mn>6</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>+</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>50</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein
Ignore influence of the angle of attack derivative to command acceleration amendment, the Guidance Law is further simplified as
<mrow>
<msubsup>
<mi>a</mi>
<mi>c</mi>
<mn>1</mn>
</msubsup>
<mo>=</mo>
<mi>N</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&alpha;</mi>
<mi>f</mi>
</msub>
<mo>-</mo>
<mi>&alpha;</mi>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mn>6</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
<mover>
<mi>&lambda;</mi>
<mo>&CenterDot;</mo>
</mover>
<mo>+</mo>
<mfrac>
<mrow>
<mn>2</mn>
<msub>
<mi>V</mi>
<mi>m</mi>
</msub>
</mrow>
<msub>
<mi>t</mi>
<mrow>
<mi>g</mi>
<mi>o</mi>
</mrow>
</msub>
</mfrac>
<mrow>
<mo>(</mo>
<mi>&gamma;</mi>
<mo>-</mo>
<msub>
<mi>&gamma;</mi>
<mi>f</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>51</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein system
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610888077.6A CN106382853B (en) | 2016-10-11 | 2016-10-11 | A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610888077.6A CN106382853B (en) | 2016-10-11 | 2016-10-11 | A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106382853A CN106382853A (en) | 2017-02-08 |
CN106382853B true CN106382853B (en) | 2017-12-15 |
Family
ID=57936166
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610888077.6A Active CN106382853B (en) | 2016-10-11 | 2016-10-11 | A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106382853B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107943079B (en) * | 2017-11-27 | 2020-06-19 | 西安交通大学 | Online estimation method for residual flight time |
CN113503777A (en) * | 2021-05-21 | 2021-10-15 | 北京航空航天大学 | Carrier rocket boosting section guidance method and device based on trajectory analytic solution |
CN115268503B (en) * | 2022-09-28 | 2023-01-10 | 中国人民解放军国防科技大学 | Multi-aircraft three-dimensional cooperative guidance method for removing singularity |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102073280A (en) * | 2011-01-13 | 2011-05-25 | 北京科技大学 | Fuzzy singular perturbation modeling and attitude control method for complex flexible spacecraft |
CN102353301A (en) * | 2011-09-15 | 2012-02-15 | 北京理工大学 | Guidance method with terminal restraint based on virtual target point |
CN103728976A (en) * | 2013-12-30 | 2014-04-16 | 北京航空航天大学 | Multi-process constraint and multi-terminal constraint terminal guidance law based on generalized target control miss distance concept |
CN103983143A (en) * | 2014-04-04 | 2014-08-13 | 北京航空航天大学 | Air-to-ground guided missile projection glide-section guidance method including speed process constraint and multi-terminal constraint |
CN105550402A (en) * | 2015-12-07 | 2016-05-04 | 北京航空航天大学 | Attack angle or inclination angle frequency conversion based design method for hypersonic steady maneuver gliding trajectory |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2645979B1 (en) * | 1989-04-18 | 1991-11-15 | Aerospatiale |
-
2016
- 2016-10-11 CN CN201610888077.6A patent/CN106382853B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102073280A (en) * | 2011-01-13 | 2011-05-25 | 北京科技大学 | Fuzzy singular perturbation modeling and attitude control method for complex flexible spacecraft |
CN102353301A (en) * | 2011-09-15 | 2012-02-15 | 北京理工大学 | Guidance method with terminal restraint based on virtual target point |
CN103728976A (en) * | 2013-12-30 | 2014-04-16 | 北京航空航天大学 | Multi-process constraint and multi-terminal constraint terminal guidance law based on generalized target control miss distance concept |
CN103983143A (en) * | 2014-04-04 | 2014-08-13 | 北京航空航天大学 | Air-to-ground guided missile projection glide-section guidance method including speed process constraint and multi-terminal constraint |
CN105550402A (en) * | 2015-12-07 | 2016-05-04 | 北京航空航天大学 | Attack angle or inclination angle frequency conversion based design method for hypersonic steady maneuver gliding trajectory |
Also Published As
Publication number | Publication date |
---|---|
CN106382853A (en) | 2017-02-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103090728B (en) | Tail angle restraining guidance method based on sliding mode control | |
CN106352738B (en) | More bullet cooperative guidance methods based on output-consistence | |
CN105759612A (en) | Differential game anti-interception maneuver penetration/accurate strike guiding method with falling angle constraint | |
CN105716470B (en) | A kind of differential game is counter to intercept Maneuver Penetration/precision strike guidance method | |
CN103728976B (en) | A kind of many process constraints based on broad sense mark control miss distance concept and multiple terminals constraint Terminal Guidance Laws | |
CN106382853B (en) | A kind of tape terminal trajectory tilt angle and the angle of attack constraint singularity perturbation suboptimum Guidance Law | |
CN106586033A (en) | Adaptive segmentation multistage linear spectrum generalized standard control missdistance reentry guidance method | |
CN106681348A (en) | Guidance and control integrated design method considering all-strapdown seeker view field constraint | |
CN104215935B (en) | A kind of radar shell target identification method based on decision-making Weighted Fusion | |
CN106997208A (en) | A kind of control method of hypersonic aircraft towards under condition of uncertainty | |
CN105184109A (en) | Trajectory boosting segment state deviation parsing and calculating method under action of disturbance gravitation | |
CN108153323B (en) | A kind of high-altitude unmanned vehicle high-precision reentry guidance method | |
CN106814626B (en) | Supersonic aircraft overload instruction fast tracking method based on fuzzy variable structure | |
CN112947534A (en) | Adaptive pseudo-spectral method trajectory optimization method for depression section of hypersonic aircraft | |
CN110822994B (en) | Linear pseudo-spectrum spreading control guidance method with falling angle constraint | |
CN104503471A (en) | Terminal guidance method for maneuvering aircraft multi-terminal constraint backstepping sliding mode | |
CN114200826B (en) | High stability control method for supersonic speed large maneuvering target continuous large overload maneuvering | |
CN107065544A (en) | Hypersonic vehicle neural network control method based on angle of attack power function | |
CN112782984A (en) | Multi-aircraft anti-interception cooperative attack guidance method and device and aircraft | |
CN107943079A (en) | A kind of residual non-uniformity On-line Estimation method | |
CN113625740A (en) | Unmanned aerial vehicle air combat game method based on transfer learning pigeon swarm optimization | |
CN106091817A (en) | The mark control miss distance of terminal guidance section resolves method of guidance | |
CN103744058A (en) | Ballistic trajectory formation method based on exponential weighting attenuated memory filtering | |
Chen | Full state constrained stochastic adaptive integrated guidance and control for STT missiles with non-affine aerodynamic characteristics | |
CN103123668A (en) | Simulation method for spatial rope tied robot system and based on mixed unit method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |