CN104460681B - The flight control method of tilting rotor depopulated helicopter changeover portion - Google Patents
The flight control method of tilting rotor depopulated helicopter changeover portion Download PDFInfo
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Abstract
A kind of flight control method of tilting rotor depopulated helicopter changeover portion, it is characterized in that, this method is using Optimum-preview control by the constraint of the emerging system equation of motion, foreseeable perfect condition and optimal performance index constraint information, and the flight to tilting rotor depopulated helicopter changeover portion is controlled;Specific method is:Nonlinear model is set up to tilting rotor depopulated helicopter changeover portion first, then trim linearisation obtains the linear equation of state space description under different nacelle inclination angles;Secondly, based on linear model, flying speed, height and the attitude angle in Optimum-preview control device, control transient process are designed;Finally formed for tilting rotor depopulated helicopter between different nacelle inclination angles and seamlessly transit Inertia of design delayed type desalination apparatus.It is an object of the invention to provide a kind of flight control method of tilting rotor depopulated helicopter changeover portion, the information such as foreseeable desired speed, height and attitude angle are merged, the handoff-security between tilting rotor depopulated helicopter mode is completed.
Description
Technical field
The present invention relates to the flight control method of tilting rotor depopulated helicopter changeover portion, more particularly to a kind of optimal prediction
The flight control method of control, belongs to technical field of flight control.
Background technology
Tiltrotor is a kind of mixing aircraft, preceding as fixed wing aircraft can both be flown, while can also be as straight
The machine of liter realizes VTOL and hovering like that.The property of tiltrotor, extends it in dual-use middle use model
Enclose." Eagle Eye " are a tilting rotor depopulated helicopters currently developed in the U.S..
The problem of tiltrotor brings many new and technological difficulties:On the one hand, aircraft control mode and offline mode
More complicated, the model for adding changeover portion describes difficulty, and existing airvane control has pulling force vector controlled again, do not gone straight up to only
, there is the handoff procedure between helicopter mode and fixed-wing pattern again in machine pattern, fixed-wing pattern.On the other hand, in pattern
Aerodynamic Characteristics are extremely complex in handoff procedure, and engine nacelle has stronger pitching couple when verting and bowed
/ plunging motion coupling is faced upward, Aerodynamic intenference is serious, and aircraft stability is poor.Therefore, aircraft how is made to stably accomplish tilting rotor
Switching between machine pattern is even more important for safe flight.And requirement phase of the tilting rotor depopulated helicopter to flight control system
It is more harsher than someone tiltrotor.
For the research of the research of tiltrotor changeover portion, particularly changeover portion control program, domestic and foreign scholars are proposed
A variety of control method.In addition to most classical control methods, Dr.Anthony J.Calise and Rolf T.Rysdyk
Adaptive nonlinear control method is proposed, this method uses network and models coupling.However, these control methods are often only sharp
With the past and present information of system.But for aircraft control, Future Trajectory information is to realize planning and design.In advance
See that control not only considers the current information of system, current control program is determined always according to the Future Information of system, therefore can
To improve the control performance of system.
At present, it is therefore foreseen that control has been successfully applied in some fields., can be using prediction control during such as mechanical device active damping
Control action is just added before vibration is produced or before interference signal appearance, control energy is reduced a lot;And for example in lathe, machine
In the path following control of people etc., because path is mostly known in advance, track following error can be greatly reduced using prediction control.
And it is seldom in the application of flying vehicles control technical field.
The content of the invention
Technical problem to be solved:
It is an object of the invention to provide a kind of flight control method of tilting rotor depopulated helicopter changeover portion, fusion can be pre-
The information such as the desired trajectory and desired speed seen, complete the handoff-security between tilting rotor depopulated helicopter mode.
Technical scheme:
In order to realize function above, the invention provides a kind of flight controlling party of tilting rotor depopulated helicopter changeover portion
Method, it is characterised in that this method is constrained using Optimum-preview control by the emerging system equation of motion, foreseeable perfect condition
And optimal performance index constraint information, the flight to tilting rotor depopulated helicopter changeover portion is controlled;Specific method is:
Nonlinear model is set up to tilting rotor depopulated helicopter changeover portion first, then the trim under different nacelle inclination angles
Linearisation obtains the linear equation of state space description;
Secondly, based on linear model, design flying speed in Optimum-preview control device, control transient process, height and
Attitude angle;
Finally formed for tilting rotor depopulated helicopter between different nacelle inclination angles and seamlessly transit Inertia of design delayed type
Desalination apparatus.
Concretely, the different nacelle angled states are βM0 °:15 °, 15 °:30 °, 30 °:45 °, 45 °:60 °,
60°:75 °, 75 °:90°;In βMFor 15 °, 30 °, 45 °, 60 °, 75 °, 90 °, the rotation of verting corresponding to above-mentioned six stages is set up
The linear model of wing depopulated helicopter changeover portion, be expressed as { A1, B1, C1, D1 }, { A2, B2, C2, D2 } ..., A6,
B6,C6,D6}};Wherein, above-mentioned Ai, Bi, Ci, Di represent the sytem matrix of linear model respectively, each stage Ai,
Bi, Ci, Di } include longitudinal model { Ailon,Bilon,Cilon,DilonAnd horizontal lateral model { Ailat,Bilat,Cilat,Dilat}。
As a kind of preferred, when the nacelle inclination angle is no more than 45 °, the longitudinal direction of tilting rotor depopulated helicopter changeover portion
Mode is always away from δcWith longitudinal feathering δlonJointly control, it is horizontal lateral for horizontal feathering δlatBecome with the longitudinal differential cycle
Away from δdlonJointly control;Then the Longitudinal Control Law form of preceding three phases is
X0(k)=[*u *w *q u w q θ H]T, R (k)=[u w q]T
In formula, u is the flying speed along body coordinate x-axis direction, and w is the flying speed along body coordinate z-axis direction, q
For rate of pitch, before variable plus * represents the difference of the variable measurements and ideal value;δcFor always away from δlonBecome for longitudinal cycle
Away from θ is the angle of pitch;H is flying height;
Laterally control law form is the horizontal stroke of preceding three phases
X0(k)=[*β *p *r β p r φ]T, R (k)=[β p r]T。
In formula, β is yaw angle, and p is angular velocity in roll, and r is yaw rate, and φ is before roll angle, variable plus * represents this
The difference of variable measurements and ideal value;δlatFor horizontal feathering, δdlonFor longitudinal differential feathering
As a kind of preferred, after the nacelle inclination angle is more than 45 °, the longitudinal direction side of tilting rotor depopulated helicopter changeover portion
Formula is always away from δcWith elevator δeJointly control, horizontal is laterally aileron δaWith rudder δrJointly control;Three phases is vertical after then
It is to control law form
X0(k)=[*u *w *q u w q θ H]T, R (k)=[u w q]T
In formula, δeFor lifting angle of rudder reflection;
The lateral control law form of the horizontal stroke of three phases is afterwards
X0(k)=[*β *p *r β p r φ]T, R (k)=[β p r]T。
In formula, δaFor aileron drift angle, δrFor rudder.
Concretely, the method for designing of inertial delay formula desalination apparatus is specially:
If former control law is output as UA(t), reconfigurable control rule is output as UB(t), switching law is output as U
(t);Assuming that in t0Moment is controlled rule switching, to t1At the moment, acted on by exponential damping,AndComplete control laws transformation.The specific algorithm of the type desalination apparatus is
Parameter a is the principal element of influence desalination performance, and its value is bigger, and fade time is shorter, conversely, its value is smaller, it is light
The change time is longer.
Beneficial effect:
It is an object of the invention to provide a kind of flight control method of tilting rotor depopulated helicopter changeover portion, fusion can be pre-
Desired speed, height and the attitude angle information seen, complete the handoff-security between tilting rotor depopulated helicopter mode.
A kind of flight control method of tilting rotor depopulated helicopter changeover portion of the present invention, is controlled using optimal prediction
System passes through the letter such as emerging system equation of motion hard constraint, foreseeable perfect condition soft-constraint and optimal performance index soft-constraint
Breath, the flight to tilting rotor depopulated helicopter changeover portion is controlled.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples:
Fig. 1 is tilting rotor depopulated helicopter changeover portion speed safe range;
Fig. 2 is the longitudinal Optimum-preview control device of three phases before tilting rotor depopulated helicopter changeover portion of the present invention
Structure;
Fig. 3 is control laws transformation desalination apparatus simulation curve figure of the present invention;
Fig. 4 is that the longitudinal velocity response at 15 degree of the nacelle inclination angle obtained using flight control method of the present invention is bent
Line;
Fig. 5 is that the longitudinal velocity response at 45 degree of the nacelle inclination angle obtained using flight control method of the present invention is bent
Line;
Fig. 6 is that the longitudinal velocity response at 60 degree of the nacelle inclination angle obtained using flight control method of the present invention is bent
Line;
Fig. 7 is the one-dimensional track emulation curve obtained using flight control method of the present invention;
Fig. 8 is the two-dimentional track emulation curve obtained using flight control method of the present invention.
Embodiment
The present invention provides a kind of optimal prediction flight control method of tilting rotor depopulated helicopter changeover portion, to send out this
Bright purpose, technical scheme and effect are clearer, clearly, and referring to the drawings and give an actual example to the present invention further specifically
It is bright.It should be appreciated that specific implementation described herein is not intended to limit the present invention only to explain the present invention.
Using the present invention tilting rotor depopulated helicopter changeover portion optimal prediction flight control method, specifically according to
Lower step.
Step 1, the nonlinear model for initially setting up tilting rotor depopulated helicopter changeover portion.Under body axis system, fly
Row device dynamics and kinematics six degree of freedom equation group can use following form.
In computing power and torque, the effect of each section such as fuselage, rotor, wing, horizontal tail and vertical fin is considered.Such as machine
The composition of the side force in body axle y-axis direction is as follows
Y=Yfuse+Ywing+YROT+YHT+YVT
In formula, YfuseIt is the side force that fuselage is produced, YwingIt is the side force that wing is produced, YROTIt is the side force that rotor is produced, YHT
It is the side force that horizontal tail is produced, YVTIt is the side force that vertical fin is produced.
Fuselage, rotor, wing, horizontal tail and vertical fin are carried out after mathematical modeling respectively, built in MATLAB/Simulink
The nonlinear mathematical model of tilting rotor depopulated helicopter.
Then the trim under different nacelle angles to system is realized using the trim functions in MATLAB/Simulink, then
, will be non-near with flat spot using trim input quantity and trim condition amount as the parameter of linmod functions using linmod functions
Linear model is linearized.Because the motion of tilting rotor depopulated helicopter changeover portion is with very strong time-varying characteristics, by changeover portion
Six stages are divided, nacelle angle of inclination beta is corresponded to respectivelyM0 °:15 °, 15 °:30 °, 30 °:45 °, 45 °:60 °, 60 °:75 °, 75 °:
90°.In βMFor 15 °, 30 °, 45 °, 60 °, 75 °, 90 ° are set up the tilting rotor depopulated helicopter mistake for corresponding to above-mentioned six stages
The linear model of section is crossed, is expressed as { { A1, B1, C1, D1 }, { A2, B2, C2, D2 } ..., { A6, B6, C6, D6 } }.Wherein
{ Ai, Bi, Ci, the Di } in each stage is included with x=[u w q θ H]TFor state variable, with U=[δc δlon δe] it is control
Longitudinal model { Ai of amountlon,Bilon,Cilon,DilonAnd with x=[β p r φ]TFor state variable, with U=[δlat δdlon
δa δr] for the lateral model { Ai of horizontal stroke of controlled quentity controlled variablelat,Bilat,Cilat,Dilat}。
Understand technical scheme for the ease of the public, illustrated physical quantity of the present invention with table 1 below:
Table 1
Step 2, based on above-mentioned six linear models, design Optimum-preview control device.
Control program is determined first, it is as follows:
(1) when being no more than 45 ° at nacelle inclination angle, longitudinal mode of tilting rotor depopulated helicopter changeover portion is always away from δcWith
Longitudinal feathering δlonJointly control, it is horizontal lateral for horizontal feathering δlatWith longitudinal differential feathering δdlonJoint control
System.
(2) after nacelle inclination angle is more than 45 °, longitudinal mode of tilting rotor depopulated helicopter changeover portion is always away from δcAnd lifting
Rudder δeJointly control, horizontal is laterally aileron δaWith rudder δrJointly control.
According to above-mentioned control program, the state equation in six stages in step 1 is divided, preceding three phases are obtained
Lengthwise movement state equation be
The horizontal lateral movement state equation of preceding three phases is
The lengthwise movement state equation of three phases is afterwards
The horizontal lateral movement state equation of three phases is afterwards
Above-mentioned linear model is carried out with certain sampling time by discretization.Obtain the linear discrete time that following formula is represented
System.
X (k+1)=Ax (k)+BU (k)
Y (k)=Cx (k)
If target value signal is R (k), defining error signal is
E (k)=R (k)-y (k)
Then following error signal system is exported
Or
X0(k+1)=Φ X0(k)+GΔU(k)+GRΔR(k+1)
For error system, it is assumed that it is known its since present moment until following MRLetter is evaluated in the desired value of step, definition
Number is the following quadratic form comprising error term and input item:
Wherein:Q is positive semidefinite matrix;Qe, H is positive definite matrix.Q and H are the weight matrix determined by designer.
There are several solutions for solving the optimal control problem of error system, conventional one kind is optimized according to partial differential
Method, this method is the form for first assuming control input, is substituted into evaluation function, requires that this function takes minimum value according to partial differential,
So as to obtain prediction feed-forward coefficients.
If the control input form of Optimum-preview control is
Here, FR(j) it is coefficient undetermined.It is using above method solving result
F0=-[H+GTPG]-1GTPΦ
FR(j)=- [H+GTPG]-1GT(ξT)j-1PGR (j≥1)
(ξ=Φ+GF0)
P=Q+ ΦTPΦ-ΦTPG[H+GTPG]-1GTPΦ
If making F0=[Fe,Fx], system initial value is zero, is obtained
It is the model for making aircraft forward flight speed within the stage reach safe transition in the purpose of each phase controller
Enclose, i.e., in safe range as shown in Figure 1.It is with reference to the controller architecture of controlling plan design
The Longitudinal Control Law form of preceding three phases is
X0(k)=[*u *w *q u w q θ H]T, R (k)=[u w q]T
The longitudinal controller structure chart of preceding three phases is as shown in Figure 2.
Laterally control law form is the horizontal stroke of preceding three phases
X0(k)=[*β *p *r β p r φ]T, R (k)=[β p r]T
The Longitudinal Control Law form of three phases is afterwards
X0(k)=[*u *w *q u w q θ H]T, R (k)=[u w q]T
The lateral control law form of the horizontal stroke of three phases is afterwards
X0(k)=[*β *p *r β p r φ]T, R (k)=[β p r]T
Realize and seamlessly transit between step 3, six phase controllers, inertial delay formula desalination apparatus is devised for this, if former
Control law is output as UA(t), reconfigurable control rule is output as UB(t), switching law is output as U (t).Assuming that in t0When
Rule switching is controlled quarter, to t1At the moment, acted on by exponential damping,And
Complete control laws transformation.The specific algorithm of the type desalination apparatus is
Parameter a is the principal element of influence desalination performance, and its value is bigger, and fade time is shorter, conversely, its value is smaller, it is light
The change time is longer.
Assuming that switching instant is 5s, it is -5 before switching for the controlled quentity controlled variable of input, is 8 after switching, a=1.5, cuts here
The time is changed for 2s, then the handoff procedure of desalination apparatus is as shown in Figure 3.Now the algorithm of desalination apparatus is as follows
In order to verify validity of the present invention in the flight control of tilting rotor changeover portion, following emulation experiment is carried out.It is imitative
True instrument uses MATLAB softwares, and object is analyzed using XV-15 tiltrotor aircrafts.Simulation parameter is set such as the institute of table 2
Show.
Table 2
With β in 0~5sMTrim linear model at=15 ° is controlled, with β in 5~15sMTrim at=30 °
Linear model is controlled, with β in 15~55sMTrim linear model at=60 ° is controlled, forward flight speed u in table 2
Setting safety fall in the safe range shown in Fig. 1.The tracking mode of speed is set in preceding 15s, u is with acceleration au=
2m/s2, w is with acceleration aw=0.12m/s2Climb;The step signal that amplitude is 10 is inputted in 15s moment u, w inputs amplitude is
2.95 step signal.If elemental height is 100m, according to above-mentioned steps design control Optimum-preview control device, control effect is such as
Shown in Fig. 4 to Fig. 8, wherein Fig. 7, all stage track shown in 8 calculate according to Fig. 4 to Fig. 6 rate curve and obtained.In Fig. 4
Ordinate to Fig. 6 represents that present speed subtracts the difference of initial velocity, in Fig. 4, although stable state mistake occurs in u control result
Difference, but in the range of safe transition, do not interfere with the transition of tilting rotor.There is a decline when w control is initial in figure 6
Process, but be due to that w initial values are more than 0, so occurring that the height in the short time declines phenomenon, climb mode can be recovered afterwards,
From the change of Fig. 7 altitude curve it is also seen that.The purpose controlled in this emulation essentially consists in speed control, be not track with
Track, therefore track can have deviation with ideal trajectory.Above-mentioned simulation result fully shows, based on the tilting rotor for most having prediction to control
Unmanned helicopter system has good response performance.
It is understood that for those of ordinary skills, can be with technique according to the invention scheme and its hair
Bright design is subject to equivalent or change, and all these changes or replacement should all belong to the guarantor of appended claims of the invention
Protect scope.
Claims (1)
1. a kind of flight control method of tilting rotor depopulated helicopter changeover portion, it is characterised in that this method is using optimal pre-
Control is seen by the constraint of the emerging system equation of motion, foreseeable perfect condition and optimal performance index constraint information, to inclining
The flight of switch rotor depopulated helicopter changeover portion is controlled;Specific method is:
Nonlinear model is set up to tilting rotor depopulated helicopter changeover portion first, then trim is linear under different nacelle inclination angles
Change the linear equation for obtaining state space description;
Secondly, based on linear model, flying speed, height and the attitude in Optimum-preview control device, control transient process are designed
Angle;Finally formed for tilting rotor depopulated helicopter between different nacelle inclination angles and seamlessly transit the desalination of Inertia of design delayed type
Device;
The different nacelle angled states are βM0 °:15 °, 15 °:30 °, 30 °:45 °, 45 °:60 °, 60 °:75 °, 75 °:90°;
In βMFor 15 °, 30 °, 45 °, 60 °, 75 °, 90 °, the tilting rotor depopulated helicopter transition corresponding to above-mentioned six stages is set up
The linear model of section, is expressed as { { A1, B1, C1, D1 }, { A2, B2, C2, D2 } ..., { A6, B6, C6, D6 } };Wherein,
Ai, Bi, Ci, Di represent the sytem matrix of linear model respectively, and { Ai, Bi, Ci, the Di } in each stage includes longitudinal model
{Ailon,Bilon,Cilon,DilonAnd horizontal lateral model { Ailat,Bilat,Cilat,Dilat};
When the nacelle inclination angle is no more than 45 °, longitudinal mode of tilting rotor depopulated helicopter changeover portion is always away from δcAnd longitudinal direction
Feathering δlonJointly control, it is horizontal lateral for horizontal feathering δlatWith longitudinal differential feathering δdlonJointly control;Then
The Longitudinal Control Law form of preceding three phases is
X0(k)=[* u * w * q u w q θ H]T, R (k)=[u w q]T
In formula, u is the flying speed along body coordinate x-axis direction, and w is the flying speed along body coordinate z-axis direction, and q is to bow
* is added to represent the difference of the variable measurements and ideal value before elevation angle speed, variable;δcFor always away from δlonFor longitudinal feathering, θ is
The angle of pitch;H is flying height;
Laterally control law form is the horizontal stroke of preceding three phases
X0(k)=[* β * p * r β p r φ]T, R (k)=[β p r]T
In formula, β is yaw angle, and p is angular velocity in roll, and r is yaw rate, and φ is before roll angle, variable plus * represents the variable
The difference of measured value and ideal value;δlatFor horizontal feathering, δdlonFor longitudinal differential feathering;
After the nacelle inclination angle is more than 45 °, longitudinal mode of tilting rotor depopulated helicopter changeover portion is always away from δcAnd elevator
δeJointly control, horizontal is laterally aileron δaWith rudder δrJointly control;The Longitudinal Control Law form of three phases is after then
X0(k)=[* u * w * q u w q θ H]T, R (k)=[u w q]T
In formula, δeFor lifting angle of rudder reflection;
The lateral control law form of the horizontal stroke of three phases is afterwards
X0(k)=[* β * p * r β p r φ]T, R (k)=[β p r]T
In formula, δaFor aileron drift angle, δrFor rudder;
The method for designing of inertial delay formula desalination apparatus is specially:
If former control law is output as UA(t), reconfigurable control rule is output as UB(t), switching law is output as U (t);In t0When
Rule switching is controlled quarter, to t1At the moment, acted on by exponential damping,And
Control laws transformation is completed, the specific algorithm of the desalination apparatus is
Parameter a is the principal element of influence desalination performance, and its value is bigger, and fade time is shorter, conversely, its value is smaller, during desalination
Between it is longer.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101833336A (en) * | 2010-04-28 | 2010-09-15 | 北京航空航天大学 | Dual-redundancy attitude control system and debug method of coaxial unmanned helicopter |
CN102163059A (en) * | 2011-04-27 | 2011-08-24 | 南京航空航天大学 | Attitude control system and attitude control method of variable thrust unmanned aerial vehicle |
CN102566580A (en) * | 2011-12-27 | 2012-07-11 | 中国直升机设计研究所 | Unmanned helicopter flight track planning method |
CN102830622A (en) * | 2012-09-05 | 2012-12-19 | 北京理工大学 | Auto-disturbance-rejection automatic flight control method for four-rotor aircraft |
CN103196461A (en) * | 2013-02-26 | 2013-07-10 | 北京航空航天大学 | Compensation method for geometrical measurement errors of radio altimeter in unmanned plane |
CN103558857A (en) * | 2013-11-14 | 2014-02-05 | 东南大学 | Distributed composite anti-interference attitude control method of BTT flying machine |
CN103587723A (en) * | 2013-11-07 | 2014-02-19 | 北京临近空间飞行器系统工程研究所 | Longitudinal on-line locus designing and tracking method for reentry initial segment analytic expression |
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Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101833336A (en) * | 2010-04-28 | 2010-09-15 | 北京航空航天大学 | Dual-redundancy attitude control system and debug method of coaxial unmanned helicopter |
CN102163059A (en) * | 2011-04-27 | 2011-08-24 | 南京航空航天大学 | Attitude control system and attitude control method of variable thrust unmanned aerial vehicle |
CN102566580A (en) * | 2011-12-27 | 2012-07-11 | 中国直升机设计研究所 | Unmanned helicopter flight track planning method |
CN102830622A (en) * | 2012-09-05 | 2012-12-19 | 北京理工大学 | Auto-disturbance-rejection automatic flight control method for four-rotor aircraft |
CN103196461A (en) * | 2013-02-26 | 2013-07-10 | 北京航空航天大学 | Compensation method for geometrical measurement errors of radio altimeter in unmanned plane |
CN103587723A (en) * | 2013-11-07 | 2014-02-19 | 北京临近空间飞行器系统工程研究所 | Longitudinal on-line locus designing and tracking method for reentry initial segment analytic expression |
CN103558857A (en) * | 2013-11-14 | 2014-02-05 | 东南大学 | Distributed composite anti-interference attitude control method of BTT flying machine |
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