CN106444794A - Sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking - Google Patents
Sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking Download PDFInfo
- Publication number
- CN106444794A CN106444794A CN201610835449.9A CN201610835449A CN106444794A CN 106444794 A CN106444794 A CN 106444794A CN 201610835449 A CN201610835449 A CN 201610835449A CN 106444794 A CN106444794 A CN 106444794A
- Authority
- CN
- China
- Prior art keywords
- centerdot
- uuv
- theta
- sliding
- control
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/04—Control of altitude or depth
- G05D1/06—Rate of change of altitude or depth
- G05D1/0692—Rate of change of altitude or depth specially adapted for under-water vehicles
Abstract
The invention provides a sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking. The sliding-mode control method comprises the following steps: I, performing initialization; II, acquiring a current state of a UUV; III, establishing an error equation of the horizontal plane of the driving-free UUV so as to obtain position deviation values xe and ze and course deviation value theta e; IV, according to a sliding-mode control method, respectively designing traveling speed sliding-mode self-adaptive control rules, position sliding-mode control rules and trimming angle sliding-mode self-adaptive control rules, controlling propelling force Xprop, an excepted traveling speed U and a torque Mprop, wherein eu is 0, xe is 0 and theta e is 0; V, designing fuzzy control rules for a boundary layer, setting k to be equal to k+1, turning to step II, and updating control rules and self-adaptive rules of a next time. By adopting the sliding-mode control method, a controller for stabilizing a system can be designed only according to a vertical surface kinetic model, self-adaptive rules can be designed for water kinetic parameters with uncertainties, furthermore a control system can be relieved from dependency on parameters, the system has robustness, and the influence of the uncertainties on the sliding-mode control approaching process can be reduced.
Description
Technical field
The present invention relates to a kind of UUV path tracking control method, specifically a kind of UUV is in vertical to the phase
Hope the tracking and controlling method in path.
Background technology
The path following control of UAV navigation (Unmanned Underwater Vehicle, UUV), is to realize
The important technical basis of UUV various uses.Problem present in further investigation UUV path trace, to UUV control theory and engineering
Application all has great importance.
At present, in terms of drive lacking UUV path following control, a kind of thinking comparing main flow is based on Serret-
Frenet coordinate system and set up kinematic error equation, real in conjunction with error equation, kinetics equation and various control method
Now control.Wherein, common control algolithm includes Backstepping, Model Predictive Control, Sliding mode variable structure control etc..Backstepping for
Calm complicated strong nonlinearity, high degree of coupling system have obvious advantage.However, to uncertain and external disturbance relatively
The resistivity of difference, multiple derivation and the derivative that produces expands and haves such problems as singular value, govern this method
Application.Model Predictive Control has the ability that Model Parameter error is rolled with real time correction, has good robustness.But
This kind of algorithm is mainly used in linear system, for the nonlinear system that similar UUV is so complicated, however it remains non-linear place
Reason, challenge the problems such as real-time is lifted.And Sliding mode variable structure control is the control calculation of a kind of strong robustness, strong antijamming capability
Method, its buffeting problem can also switch over the methods such as control, design parameter adaptive law by using suitable function and give
Weaken.
Also seldom, great majority concentrate on horizontal plane for path trace research on vertical direction for the drive lacking UUV now
Path trace.Drive lacking UUV motion on the vertical plane is only controlled to depth mostly.GV Lakhekar and VD
Saundarmal was published in 2013 on " IEEE International Conference on Fuzzy Systems "
Article " Novel adaptive fuzzy sliding mode controller for depth control of
In underwater vehicles ", the severity control for UUV proposes a kind of linear adaptive fuzzy sliding mode controller.
Content of the invention
It is an object of the invention to provide one kind can improve speed of a ship or plane tracking accuracy, reduce the printenv drive lacking of amount of calculation
UUV vertical path trace sliding-mode control.
The object of the present invention is achieved like this:
Step one, initialization:
The auto-adaptive parameter of the uncertain parameter for UUVAssign initial value, and determine its ideal velocity for path tracking procedure
ud, define update times t=0, i=1~8;
Step 2, the current state of acquisition UUV:
Current time state is obtained by the sensor of UUV itself:U, w are respectively longitudinal direction and vertical velocity, and r is Angle of Trim
Speed, x, z are respectively longitudinal coordinate under fixed coordinate system { I } for the UUV center of gravity and vertical coordinate, and θ is Angle of Trim, determines longitudinally
Velocity error eu=u-ud;
Step 3, be based on Serret-Frenet coordinate system, set up drive lacking UUV level error equation, obtain UUV weight
Lengthwise position deviation x under coordinate { I } for the hearteWith vertical deviation zeAnd course deviation value θe;
Step 4, utilize sliding-mode control, in the case of unknown parameters, separately design speed of a ship or plane Sliding Mode Adaptive Control
Rule, position sliding formwork control ratio and Angle of Trim Sliding Mode Adaptive Control rule, by thrust Xprop, expectation the speed of a ship or planeAnd torque
MpropControl, make eu→0,xe→0,θe→0;
Step 5, the boundary layer thickness k for sliding mode controlleri, i=1~3, separately design Fuzzy Control Law;
Make t=t+1, jump back to step 2, carry out control law and the renewal of adaptive law next time, realize vertical to UUV
Face path trace precise control.
Present invention is primarily directed to the vertical path following control of the drive lacking UUV in uncertain parameter.The present invention can be real
Now only relying on the design of vertical kinetic model makes system quelling controller, is with the design of probabilistic hydrodynamic parameter
Adaptive law, and then make control system break away from the dependence to parameter, system obtains robustness, improves uncertainty to sliding formwork control
The impact of approach procedure is it is adaptable to various drive lacking UUV.
The present invention utilizes a kind of thought of decoupling, devises the drive lacking UUV path following control based on adaptive sliding mode
System.First, the present invention derived with ocean current interference drive lacking UUV vertical kinetic model and vertical plane position,
The error model of attitude.Secondly, the present invention proposes a kind of new sliding formwork tendency rate it was demonstrated that the feasibility of this tendency rate,
And utilize this tendency rate, devise vertical drive lacking UUV path following control device.Furthermore, using Lyapunov stability reason
By, it is that the uncertain parameter in the tracking of the UUV speed of a ship or plane and Angle of Trim tracing control rate devises adaptive law, so that UUV path
Tracking system has broken away from the dependence to parameter, and then makes UUV obtain the robustness to uncertain parameter.Finally, based on border
Thickness degree follows the tracks of the larger feature of impact to the UUV speed of a ship or plane, using the boundary layer thickness emulating Experience Design T-S fuzzy control certainly
Adapt to rule, in order to improve speed of a ship or plane tracking accuracy, and decrease amount of calculation.
Brief description
Fig. 1 is the vertical modeling figure of UUV;
Fig. 2 is drive lacking UUV vertical path trace coordinate system;
Fig. 3 is the control flow chart of the present invention;
Fig. 4 is that drive lacking UUV vertical plane position follows the tracks of analogous diagram.
Specific embodiment
Illustrate below in conjunction with the accompanying drawings and the present invention is described in more detail.
Specific embodiment one:A kind of printenv drive lacking UUV vertical path trace sliding-mode control, including as follows
Step:
It is an object of the invention to provide one kind can improve speed of a ship or plane tracking accuracy, reduce the printenv drive lacking of amount of calculation
UUV vertical path trace sliding-mode control.
The object of the present invention is achieved like this:
Step one, initialization:
The auto-adaptive parameter of the uncertain parameter for UUVAssign initial value, and determine its ideal velocity for path tracking procedure
ud, define update times t=0, i=1~8;
Step 2, the current state of acquisition UUV:
Current time state is obtained by the sensor of UUV itself:U, w are respectively longitudinal direction and vertical velocity, and r is Angle of Trim
Speed, x, z are respectively longitudinal coordinate under fixed coordinate system { I } for the UUV center of gravity and vertical coordinate, and θ is Angle of Trim, determines longitudinally
Velocity error eu=u-ud;
Step 3, be based on Serret-Frenet coordinate system, set up drive lacking UUV level error equation, obtain UUV weight
Lengthwise position deviation x under coordinate { I } for the hearteWith vertical deviation zeAnd course deviation value θe;
Step 4, utilize sliding-mode control, in the case of unknown parameters, separately design speed of a ship or plane Sliding Mode Adaptive Control
Rule, position sliding formwork control ratio and Angle of Trim Sliding Mode Adaptive Control rule, by thrust Xprop, expectation the speed of a ship or planeAnd torque
MpropControl, make eu→0,xe→0,θe→0;
Step 5, the boundary layer thickness k for sliding mode controlleri, i=1~3, separately design Fuzzy Control Law;
Make t=t+1, jump back to step 2, carry out control law and the renewal of adaptive law next time, realize vertical to UUV
Face path trace precise control.
Specific embodiment two:
On the basis of specific embodiment one, being sat based on Serret-Frenet described in step 3 in present embodiment
Mark system, sets up drive lacking UUV level error equation, obtains position deviation xe,zeAnd course deviation value θeDetailed process such as
Under:
For motion in vertical for the UUV it is only necessary to set up Three Degree Of Freedom model, the variable that needs consider is:Position
The amount of putting x, z, Angle of Trim θ, and longitudinal velocity u, lateral velocity w, and Angle of Trim angular velocity q.Can get UUV diving plane
Learning equation is:
, just at the initial point of { B }, gravity is equal with buoyancy, and UUV structure is symmetrical, and thinks upper and lower for the center of gravity making UUV
Near symmetrical, through a series of abbreviations, can obtain UUV vertical kinetics equation as follows:
In above formula,d1=-Xu-Xu|u||u|,d2=-Zw-Zw|w||w|,d3
=-Mq-Mq|q|| q |,Represent UUV centre of buoyancy to center of gravity distance in the vertical projection of UUV, W represents the gravity of UUV, wherein
X(),Z(),M()For hydrodynamic force coefficient, Xprop=CnThe propeller thrust for UUV for n | the n |, CnIt is by testing the coefficient recording, n
For propeller rotating speed, NpropTurn bow moment for UUV.
The UUV of diving plane cannot consider the interference that horizontal ocean current produces, and the ocean current flow velocity under { I } can represent
For:
VI=[uI,0,wI]T(3)
Ocean current flow velocity so under { B } can be expressed as:
Wherein:
To formula (4) two ends derivation and arranged:
Can solve:
The horizontal plane kinetic model then carrying ocean current interference can be expressed as:
Furthermore, give an expected path under { I } coordinate system:
In formula, the arc length of μ --- -- expected path, xd,zdCoordinate under { I } for --- --- the vertical expected path.
Because coordinate figure under { I } for the distance of the initial point O of coordinate system { B } to the initial point D (i.e. the desired point of UUV) of { SF }
It is exactly the site error of UUV, therefore, based on UUV with respect to the length velocity relation of desired point D, be not difficult to set up following length velocity relation
Formula:
In above formula, kvThe curvature of --- -- vertical expected path
xe,ze--- -- in vertical UUV site error
Front two formulas of (1) formula are substituted in (10) formula, and thinksSo vertical UUV path
The error equation followed the tracks of can be written as:
Wherein, θe=θ+α-θdRepresent trim angle error.
Specific embodiment three:Profit on the basis of specific embodiment one or two, described in present embodiment step 4
With sliding-mode control, in the case of unknown parameters, separately design speed of a ship or plane Sliding Mode Adaptive Control rule, position sliding formwork control ratio
And Angle of Trim Sliding Mode Adaptive Control rule, by thrust XpropIt is desirable to the speed of a ship or planeAnd torque MpropControl, make eu→0,xe
→0,θe→ 0 detailed process is as follows:
Using a kind of new sliding formwork tendency rate
Wherein, s represents sliding-mode surface function, k>0 is handoff gain, and ε > 0 is exponential approach term coefficient, and 0 < α < 1 is design
Parameter.In formula (12), when state point from sliding-mode surface farther out when, exponential approach item plays a major role so that state point quickly becomes
It is bordering on sliding-mode surface;When state point reaches near sliding-mode surface ,-k | s |αSgns item plays a major role, and reduces switching increasing by suitable
Benefit gets a promotion making Control platform.
In conjunction with new tendency rate (12), first for the sliding formwork of UUV design speed tracing subsystem and position tracking subsystem
Control law.Choose sliding-mode surface function s that the speed of a ship or plane is followed the tracks of1ver=u-ud, sliding-mode surface function s that position is followed the tracks of2ver=xe- 0, in conjunction with
The first formula in kinetic model (8) with ocean current interference, and the first formula of error model (11) formula, can readily set
Count out:
For bow to angle tracking control subsystem, choose sliding-mode surface functionC > 0 formula design parameter, in conjunction with
(8) the 3rd formula in and the 3rd formula of (11) formula, bow phase angle tracing control rule is as follows:
k1> 0, k2> 0 and k3> 0 is handoff gain, ε1> 0, ε2> 0 and ε3> 0 is the coefficient of exponential approach item, 0 < α1
< 1,0 < α2< 1 and 0 < α3< 1 is design parameter.
Empirical tests, three tracing control rules of design all can be stablized.Not true in view of there is parameter in UUV mathematical model
The qualitatively impact impact of interference (ocean current added in model), for based on the speed of a ship or plane designed by one, second mathematical model, vertical
For the tracing control subsystem of inclination angle, its sliding formwork approach procedure also can be affected by uncertain noises.For this reason, it is necessary to be phase
The uncertain parameter design adaptive law closing.
It is first the uncertain parameter design adaptive law in Angle of Trim control law below.Rewrite the power with ocean current interference
Learn the 3rd formula in model (8):
Wherein:
Then control law (14) can be rewritten as:
If the uncertain parameter b (15) and in (17)1,b2,b3And b4Estimated value be respectivelyWithSimultaneously
DefinitionWithThen can obtain:
To bow phase angle sliding-mode surface functionDerivation, hasIn conjunction with (18):
Choose Lyapunov function:
To (20) two ends derivation, and (19) are substituted into:
According to formula (21) final step, choose indeterminateAdaptive law as follows:
Wherein, constant ρ1> 0, ρ2> 0, ρ3> 0, ρ4> 0.(22) formula is substituted in (21), can obtainEqual sign is only in s3verObtain when=0, therefore UUV trim angle tracking error is Lyapunov meaning
Stable, then s3verIt is bounded, control input MpropInevitable bounded, is the uncertain parameter design in Angle of Trim control law
Adaptive law is stable.
According to the mentality of designing of Angle of Trim, easily draw the uncertain parameter adaptive law of UUV speed of a ship or plane tracing control.Choose
(8) in formula, the first formula is as follows:
Wherein:
So indeterminateAdaptive law can be expressed as:
Equally, the speed of a ship or plane tracing subsystem in diving plane for the provable UUV and position tracking subsystem are stable.
Thus can obtain, the UUV vertical path trace adaptive sliding-mode observer system designed by the present invention can be expressed as:
Specific embodiment four:On the basis of a kind of any of the above described specific embodiment, present embodiment step 5 institute
The detailed process of the boundary-layer design Fuzzy Control Law to sliding mode controller stated is as follows:
Firstly, it is necessary to Sigmoid function is replaced the sign function in the first formula in (26) formula:
Wherein,λ1Represent boundary layer thickness parameter.
It is based on experience to design former piece and the consequent of T-S fuzzy control, and then improve UUV speed of a ship or plane tracking accuracy.
By experience, parameter lambda in boundary layer thickness φ and formula (27)1Relation can be written as:φ=1/ λ1.Therefore, relatively
Little boundary layer thickness φ will correspond to larger λ1Value, on the contrary less λ will be corresponded to1Value.Boundary layer thickness φ and the speed of a ship or plane are followed the tracks of steady
State error uessRelation can be expressed as:
φ=kess|uess| (28)
Wherein, proportionality coefficient kess> 0.UUV speed of a ship or plane tracking error ueCan converge to quickly in the presence of control law (27)
uess, it can be considered that (28) formula is:
φ≈kess|ue| (29)
Due to the relation shown in (29), can be by UUV speed of a ship or plane tracking error | ue| as the input of fuzzy controller, border
Thickness degree φ is as output.The expertise set up for T-S fuzzy model may be summarized to be:When | ue| when larger, φ is selected
Larger, to reduce buffeting;When | ue| when less, by φ select larger, to improve tracking accuracy.
It is usually no more than 4 sections (about 2m/s) in view of the UUV work speed of a ship or plane used by the present invention, then | ue| domain be
[0,2], the static error that the speed of a ship or plane is followed the tracks of about stable in (speed of a ship or plane (saving) × 0.1) m/s, therefore, using static error as
The criteria for classifying of fuzzy set, can be by | ue| domain divide Z (zero), S (little), the big fuzzy set of B (big) three, as Fig. 1.
l1,l2Selection should meet completeness require.Based on relational expression (29), the consequent of T-S fuzzy rule can be set up,
So fuzzy rule can be written as:
Wherein, Δi, i=1,2,3 represents fuzzy set Z, S, B respectively.Proportionality coefficient kiess, i=1,2,3 is to be navigated by UUV
Fast numerical simulation experience is determining.The parameter identification process of former piece and consequent is eliminated, amount of calculation is few in above-mentioned design process,
Real-time is good.
Carry out emulation experiment with reference to checking embodiment, experimental result is as shown in Figure 4:
Path selection y=15sin (0.15x) is as expected path, the initializaing variable of UUVAuto-adaptive parameter initial value b1=b2=b3=b4=b5=b6=b7=b8=0;Fig. 4 exhibition
Show that drive lacking UUV is in vertical path trace effect under adaptive sliding-mode observer (ASMC) controls.
It is demonstrated experimentally that adaptive sliding mode fuzzy controller proposed by the present invention has more preferable control performance.Answer actual
With in, the concrete hydrodynamic parameter of drive lacking UUV need not be obtained, by adaptive method, realize precise path follow the tracks of.With
When, control requirement can be met further by adjusting control parameter.
Claims (4)
1. a kind of printenv drive lacking UUV vertical path trace sliding-mode control, is characterized in that:
Step one, initialization:
The auto-adaptive parameter of the uncertain parameter for UUVAssign initial value, and determine its ideal velocity u for path tracking procedured, fixed
Adopted update times t=0, i=1~8;
Step 2, the current state of acquisition UUV:
Current time state is obtained by the sensor of UUV itself:U, w are respectively longitudinal direction and vertical velocity, and r is Angle of Trim speed
Degree, x, z are respectively longitudinal coordinate under fixed coordinate system { I } for the UUV center of gravity and vertical coordinate, and θ is Angle of Trim, determine longitudinally speed
Degree error eu=u-ud;
Step 3, be based on Serret-Frenet coordinate system, set up drive lacking UUV level error equation, obtain UUV center of gravity and exist
Lengthwise position deviation x under coordinate { I }e, vertical deviation zeAnd course deviation value θe;
Step 4, utilize sliding-mode control, in the case of unknown parameters, separately design speed of a ship or plane Sliding Mode Adaptive Control rule,
Position sliding formwork control ratio and Angle of Trim Sliding Mode Adaptive Control rule, by thrust Xprop, expectation the speed of a ship or planeAnd torque Mprop's
Control, make eu→0,xe→0,θe→0;
Step 5, the boundary layer thickness k for sliding mode controlleri, i=1~3, separately design Fuzzy Control Law;
Make k=k+1, jump back to step 2, carry out control law and the renewal of adaptive law next time, realize to UUV vertical road
Precise control is followed the tracks of in footpath.
2. printenv drive lacking UUV vertical path trace sliding-mode control according to claim 1, is characterized in that walking
Rapid three specifically include:
For motion in vertical for the UUV it is only necessary to set up Three Degree Of Freedom model, UUV diving plane equation is:
, at the initial point of { B }, gravity is equal with buoyancy for the center of gravity making UUV, and UUV structure is symmetrical, and thinks upper lower aprons pair
Claim, abbreviation UUV vertical kinetics equation is:
In above formula,d1=-Xu-Xu|u||u|,d2=-Zw-Zw|w||w|,d3=-
Mq-Mq|q|| q |,Represent UUV centre of buoyancy to center of gravity distance in the vertical projection of UUV, W represents the gravity of UUV, wherein X(),
Z(),M()For hydrodynamic force coefficient, Xprop=CnThe propeller thrust for UUV for n | the n |, CnIt is by testing the coefficient recording, n is to push away
Enter device rotating speed, NpropTurn bow moment for UUV;
Ocean current flow velocity under { I } is expressed as:
VI=[uI,0,wI]T(3)
Ocean current flow velocity under { B } is expressed as:
Wherein:
The horizontal plane kinetic model then carrying ocean current interference is expressed as:
A given expected path under { I } coordinate system:
In formula, the arc length of μ --- -- expected path, xd,zdCoordinate under { I } for --- --- the vertical expected path;
kvThe curvature of --- -- vertical expected path
xe,ze--- -- in vertical UUV site error
The error equation of vertical UUV path trace is:
Wherein, θe=θ+α-θdRepresent trim angle error.
3. printenv drive lacking UUV vertical path trace sliding-mode control according to claim 2, is characterized in that walking
Rapid four detailed process includes:
Sliding formwork tendency rate is:
Wherein, s represents sliding-mode surface function, k>0 is handoff gain, and ε > 0 is exponential approach term coefficient, and 0 < α < 1 is design ginseng
Number;
It is the sliding formwork control ratio of UUV design speed tracing subsystem and position tracking subsystem first, choose the cunning that the speed of a ship or plane is followed the tracks of
Mode surface function s1ver=u-ud, sliding-mode surface function s that position is followed the tracks of2ver=xe- 0, then:
For bow to angle tracking control subsystem, choose sliding-mode surface functionThen bow phase angle tracing control rule
Rule is as follows:
k1> 0, k2> 0 and k3> 0 is handoff gain, ε1> 0, ε2> 0 and ε3> 0 is the coefficient of exponential approach item,
0 < α1< 1,0 < α2< 1 and 0 < α3< 1 is design parameter;
In (14) with (15) formula, there is substantial amounts of uncertain parameter, design adaptive law for these uncertain parameter, in hydrodynamic force
In the case of unknown parameters, realize the tracking to expected path;
First, first design adaptive law for the uncertain parameter in Angle of Trim control law, then control law (15) is rewritten as:
Wherein,
If the uncertain parameter b in (16)1,b2,b3And b4Estimated value be respectivelyWithDefine simultaneously
WithThen:
To bow phase angle sliding-mode surface functionDerivation, hasIn conjunction with (17) formula, obtain:
Choose Lyapunov function:
Obtain indeterminateAdaptive law as follows:
Wherein, constant ρ1> 0, ρ2> 0, ρ3> 0, ρ4> 0;
The uncertain parameter adaptive law designing UUV speed of a ship or plane tracing control in the same manner is as follows:
Wherein:
IndeterminateAdaptive law be expressed as:
Thus, UUV vertical path trace adaptive sliding-mode observer system representation is:
4. printenv drive lacking UUV vertical path trace sliding-mode control according to claim 3, is characterized in that walking
Rapid five detailed process includes:
First, Sigmoid function is replaced the sign function in the adaptive sliding-mode observer function of design:
Wherein,λ1Represent boundary layer thickness parameter;
Boundary layer thickness φ follows the tracks of steady-state error u with the speed of a ship or planeessRelation can be expressed as:
φ=kess|uess| (24)
Wherein, proportionality coefficient kess> 0UUVSpeed of a ship or plane tracking error ueU can be converged to quickly in the presence of control law (22)ess, because
This thinks that (24) formula is:
φ≈kess|ue| (25)
Fuzzy rule is written as:RULEi:If|ue|isΔi,then
Wherein, Δi, i=1,2,3 represents fuzzy set Z, S, B respectively;Proportionality coefficient kiess, i=1,2,3 is by the actual boat of UUV
Fast numerical value is determining.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610835449.9A CN106444794B (en) | 2016-09-20 | 2016-09-20 | A kind of printenv drive lacking UUV vertical plane path trace sliding-mode control |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610835449.9A CN106444794B (en) | 2016-09-20 | 2016-09-20 | A kind of printenv drive lacking UUV vertical plane path trace sliding-mode control |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106444794A true CN106444794A (en) | 2017-02-22 |
CN106444794B CN106444794B (en) | 2019-03-05 |
Family
ID=58166573
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610835449.9A Active CN106444794B (en) | 2016-09-20 | 2016-09-20 | A kind of printenv drive lacking UUV vertical plane path trace sliding-mode control |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106444794B (en) |
Cited By (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107024863A (en) * | 2017-03-24 | 2017-08-08 | 哈尔滨工程大学 | A kind of UUV Trajectory Tracking Control methods for avoiding differential from exploding |
CN107861382A (en) * | 2017-09-28 | 2018-03-30 | 西北工业大学深圳研究院 | A kind of more execution underwater robot robust adaptive motion control devices and its method |
CN108803319A (en) * | 2018-05-28 | 2018-11-13 | 浙江工业大学 | Quadrotor self-adaptation control method based on logarithm enhanced quick power Reaching Law and fast terminal sliding-mode surface |
CN108897217A (en) * | 2018-07-04 | 2018-11-27 | 西北工业大学 | A kind of drive lacking waterborne vessel Trajectory Tracking Control method based on Model Predictive Control |
CN109032136A (en) * | 2018-07-23 | 2018-12-18 | 西北工业大学 | The more unmanned boat formation trackings of drive lacking based on master-salve distributed Model Predictive Control |
CN109116732A (en) * | 2018-08-02 | 2019-01-01 | 哈尔滨工程大学 | A kind of drive lacking unmanned boat sliding formwork stabilized control method stable based on Hurwitz |
CN109270837A (en) * | 2018-07-31 | 2019-01-25 | 哈尔滨工程大学 | A kind of underwater high-speed vehicle cascade Mach-Zehnder interferometer method |
CN109946976A (en) * | 2019-04-15 | 2019-06-28 | 东北大学 | A kind of width speed of a ship or plane AUV motion control method |
CN109976384A (en) * | 2019-03-13 | 2019-07-05 | 厦门理工学院 | A kind of autonomous underwater robot and path follow-up control method, device |
CN110376891A (en) * | 2019-07-16 | 2019-10-25 | 哈尔滨工程大学 | A kind of vertical planar obit simulation tracking autonomous underwater vehicle control method of the contragradience sliding formwork based on fuzzy switching gain |
CN110673611A (en) * | 2019-10-21 | 2020-01-10 | 武汉理工大学 | Under-actuated unmanned ship control method based on event triggering scheme and T-S fuzzy system |
CN111638722A (en) * | 2020-05-12 | 2020-09-08 | 国网天津市电力公司电力科学研究院 | Miniature bionic fish attitude control method for oil-immersed transformer |
CN112046468A (en) * | 2020-09-16 | 2020-12-08 | 吉林大学 | Vehicle transverse and longitudinal coupling stability control method based on T-S fuzzy |
CN112527018A (en) * | 2020-12-26 | 2021-03-19 | 九江职业技术学院 | Three-dimensional stabilization control method for under-actuated autonomous underwater vehicle |
CN112696311A (en) * | 2020-12-27 | 2021-04-23 | 中国电建集团河南省电力勘测设计院有限公司 | Variable-boundary-layer-based quasi-sliding mode variable-pitch optimization control method |
CN112965370A (en) * | 2021-01-29 | 2021-06-15 | 西北工业大学 | Underwater vehicle track tracking control method based on improved firefly algorithm optimization |
CN113050666A (en) * | 2021-03-26 | 2021-06-29 | 湖南大学 | Depth and longitudinal decoupling control method and system for underwater autonomous vehicle |
CN113220000A (en) * | 2021-05-11 | 2021-08-06 | 华中科技大学 | Unmanned ship path tracking preset performance control method and system for underwater detection operation |
CN114019805A (en) * | 2021-11-17 | 2022-02-08 | 九江职业技术学院 | Model prediction docking control method of under-actuated auv |
CN114111673A (en) * | 2021-12-08 | 2022-03-01 | 中国船舶科学研究中心 | Six-degree-of-freedom relative motion measurement system |
CN114839883A (en) * | 2022-07-04 | 2022-08-02 | 海南浙江大学研究院 | Depth-fixed anti-interference robust L of nonlinear under-actuated underwater vehicle 1 Control method |
CN115328126A (en) * | 2022-08-08 | 2022-11-11 | 大连海事大学 | Unmanned ship self-adaptive sliding mode trajectory tracking control method and control system thereof |
CN115542929A (en) * | 2022-10-11 | 2022-12-30 | 中国科学院声学研究所 | Under-actuated underwater vehicle self-adaptive stabilization control method and system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102768539A (en) * | 2012-06-26 | 2012-11-07 | 哈尔滨工程大学 | AUV (autonomous underwater vehicle) three-dimension curve path tracking control method based on iteration |
CN104590517A (en) * | 2014-12-18 | 2015-05-06 | 西北工业大学 | Compound posture and orbit control method for underwater vehicle |
CN105487386A (en) * | 2016-02-25 | 2016-04-13 | 哈尔滨工程大学 | UUV adaptive fuzzy sliding-mode control method under strong disturbance of load arranging |
CN105867417A (en) * | 2016-04-21 | 2016-08-17 | 哈尔滨工程大学 | Positioning control method for UUV backstepping sliding mode power in DVL speed measurement failure |
-
2016
- 2016-09-20 CN CN201610835449.9A patent/CN106444794B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102768539A (en) * | 2012-06-26 | 2012-11-07 | 哈尔滨工程大学 | AUV (autonomous underwater vehicle) three-dimension curve path tracking control method based on iteration |
CN104590517A (en) * | 2014-12-18 | 2015-05-06 | 西北工业大学 | Compound posture and orbit control method for underwater vehicle |
CN105487386A (en) * | 2016-02-25 | 2016-04-13 | 哈尔滨工程大学 | UUV adaptive fuzzy sliding-mode control method under strong disturbance of load arranging |
CN105867417A (en) * | 2016-04-21 | 2016-08-17 | 哈尔滨工程大学 | Positioning control method for UUV backstepping sliding mode power in DVL speed measurement failure |
Cited By (38)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107024863A (en) * | 2017-03-24 | 2017-08-08 | 哈尔滨工程大学 | A kind of UUV Trajectory Tracking Control methods for avoiding differential from exploding |
CN107024863B (en) * | 2017-03-24 | 2020-01-17 | 哈尔滨工程大学 | UUV trajectory tracking control method for avoiding differential explosion |
CN107861382A (en) * | 2017-09-28 | 2018-03-30 | 西北工业大学深圳研究院 | A kind of more execution underwater robot robust adaptive motion control devices and its method |
CN107861382B (en) * | 2017-09-28 | 2019-12-13 | 西北工业大学深圳研究院 | Multi-execution underwater robot robust self-adaptive motion control device and method thereof |
CN108803319A (en) * | 2018-05-28 | 2018-11-13 | 浙江工业大学 | Quadrotor self-adaptation control method based on logarithm enhanced quick power Reaching Law and fast terminal sliding-mode surface |
CN108803319B (en) * | 2018-05-28 | 2021-08-03 | 浙江工业大学 | Self-adaptive control method of four-rotor aircraft based on logarithm enhancement type fast power approach law and fast terminal sliding mode surface |
CN108897217A (en) * | 2018-07-04 | 2018-11-27 | 西北工业大学 | A kind of drive lacking waterborne vessel Trajectory Tracking Control method based on Model Predictive Control |
CN109032136A (en) * | 2018-07-23 | 2018-12-18 | 西北工业大学 | The more unmanned boat formation trackings of drive lacking based on master-salve distributed Model Predictive Control |
CN109032136B (en) * | 2018-07-23 | 2020-09-08 | 西北工业大学 | Under-actuated multi-unmanned ship formation tracking method based on master-slave distributed model predictive control |
CN109270837A (en) * | 2018-07-31 | 2019-01-25 | 哈尔滨工程大学 | A kind of underwater high-speed vehicle cascade Mach-Zehnder interferometer method |
CN109270837B (en) * | 2018-07-31 | 2021-12-24 | 哈尔滨工程大学 | Cascade control method for underwater ultrahigh-speed navigation body |
CN109116732A (en) * | 2018-08-02 | 2019-01-01 | 哈尔滨工程大学 | A kind of drive lacking unmanned boat sliding formwork stabilized control method stable based on Hurwitz |
CN109976384A (en) * | 2019-03-13 | 2019-07-05 | 厦门理工学院 | A kind of autonomous underwater robot and path follow-up control method, device |
CN109976384B (en) * | 2019-03-13 | 2022-02-08 | 厦门理工学院 | Autonomous underwater robot and path following control method and device |
CN109946976A (en) * | 2019-04-15 | 2019-06-28 | 东北大学 | A kind of width speed of a ship or plane AUV motion control method |
CN109946976B (en) * | 2019-04-15 | 2021-07-27 | 东北大学 | Wide-navigational-speed AUV motion control method |
CN110376891A (en) * | 2019-07-16 | 2019-10-25 | 哈尔滨工程大学 | A kind of vertical planar obit simulation tracking autonomous underwater vehicle control method of the contragradience sliding formwork based on fuzzy switching gain |
CN110673611B (en) * | 2019-10-21 | 2021-06-08 | 武汉理工大学 | Under-actuated unmanned ship control method based on event triggering scheme and T-S fuzzy system |
CN110673611A (en) * | 2019-10-21 | 2020-01-10 | 武汉理工大学 | Under-actuated unmanned ship control method based on event triggering scheme and T-S fuzzy system |
CN111638722A (en) * | 2020-05-12 | 2020-09-08 | 国网天津市电力公司电力科学研究院 | Miniature bionic fish attitude control method for oil-immersed transformer |
CN111638722B (en) * | 2020-05-12 | 2023-04-28 | 国网天津市电力公司电力科学研究院 | Miniature bionic fish attitude control method for oil immersed transformer |
CN112046468B (en) * | 2020-09-16 | 2021-02-26 | 吉林大学 | Vehicle transverse and longitudinal coupling stability control method based on T-S fuzzy |
CN112046468A (en) * | 2020-09-16 | 2020-12-08 | 吉林大学 | Vehicle transverse and longitudinal coupling stability control method based on T-S fuzzy |
CN112527018A (en) * | 2020-12-26 | 2021-03-19 | 九江职业技术学院 | Three-dimensional stabilization control method for under-actuated autonomous underwater vehicle |
CN112527018B (en) * | 2020-12-26 | 2023-02-07 | 九江职业技术学院 | Three-dimensional stabilization control method for under-actuated autonomous underwater vehicle |
CN112696311A (en) * | 2020-12-27 | 2021-04-23 | 中国电建集团河南省电力勘测设计院有限公司 | Variable-boundary-layer-based quasi-sliding mode variable-pitch optimization control method |
CN112965370A (en) * | 2021-01-29 | 2021-06-15 | 西北工业大学 | Underwater vehicle track tracking control method based on improved firefly algorithm optimization |
CN113050666A (en) * | 2021-03-26 | 2021-06-29 | 湖南大学 | Depth and longitudinal decoupling control method and system for underwater autonomous vehicle |
CN113220000B (en) * | 2021-05-11 | 2022-12-02 | 华中科技大学 | Unmanned ship path tracking preset performance control method and system for underwater detection operation |
CN113220000A (en) * | 2021-05-11 | 2021-08-06 | 华中科技大学 | Unmanned ship path tracking preset performance control method and system for underwater detection operation |
CN114019805A (en) * | 2021-11-17 | 2022-02-08 | 九江职业技术学院 | Model prediction docking control method of under-actuated auv |
CN114019805B (en) * | 2021-11-17 | 2023-05-23 | 九江职业技术学院 | Model prediction butt joint control method of under-actuated auv |
CN114111673A (en) * | 2021-12-08 | 2022-03-01 | 中国船舶科学研究中心 | Six-degree-of-freedom relative motion measurement system |
CN114111673B (en) * | 2021-12-08 | 2023-05-12 | 中国船舶科学研究中心 | Six-degree-of-freedom relative motion measurement system |
CN114839883A (en) * | 2022-07-04 | 2022-08-02 | 海南浙江大学研究院 | Depth-fixed anti-interference robust L of nonlinear under-actuated underwater vehicle 1 Control method |
CN115328126A (en) * | 2022-08-08 | 2022-11-11 | 大连海事大学 | Unmanned ship self-adaptive sliding mode trajectory tracking control method and control system thereof |
CN115328126B (en) * | 2022-08-08 | 2023-11-24 | 大连海事大学 | Unmanned ship self-adaptive sliding mode track tracking control method and control system thereof |
CN115542929A (en) * | 2022-10-11 | 2022-12-30 | 中国科学院声学研究所 | Under-actuated underwater vehicle self-adaptive stabilization control method and system |
Also Published As
Publication number | Publication date |
---|---|
CN106444794B (en) | 2019-03-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106444794A (en) | Sliding-mode control method for parameter-free driving-insufficient UUV (Unmanned Underwater Vehicle) vertical plane route tracking | |
CN109343341B (en) | Carrier rocket vertical recovery intelligent control method based on deep reinforcement learning | |
CN107168312B (en) | Space trajectory tracking control method for compensating UUV kinematic and dynamic interference | |
Zheng et al. | Reinforcement learning control for underactuated surface vessel with output error constraints and uncertainties | |
JP4406436B2 (en) | Autonomous mobile robot motion planning method, autonomous mobile robot control method using autonomous mobile robot motion planning method, autonomous mobile robot motion planning device, autonomous mobile robot motion planning program and its recording medium, autonomous mobile robot control program | |
Su et al. | Attitude control of underwater glider combined reinforcement learning with active disturbance rejection control | |
CN106227223A (en) | A kind of UUV trace tracking method based on dynamic sliding mode control | |
CN103760900B (en) | A kind of ship motion controller system considering to control input constraint | |
Han et al. | Automatic berthing for an underactuated unmanned surface vehicle: A real-time motion planning approach | |
CN101871782B (en) | Position error forecasting method for GPS (Global Position System)/MEMS-INS (Micro-Electricomechanical Systems-Inertial Navigation System) integrated navigation system based on SET2FNN | |
CN104820430B (en) | A kind of AUV based on dipole potential field returns depressed place guidance system and guidance method | |
CN109976349A (en) | A kind of design method containing the path trace guidance and control structure that constrain unmanned boat | |
Sun et al. | Adaptive path following control for wave gliders in time-varying environment | |
CN104317300A (en) | Stratospheric airship plane path tracking control method based on model predictive control | |
CN111506063B (en) | Mobile robot map-free navigation method based on layered reinforcement learning framework | |
Shen et al. | Nonlinear model predictive control for trajectory tracking of an AUV: A distributed implementation | |
Liang et al. | Finite-time unknown observer based coordinated path-following control of unmanned underwater vehicles | |
Shen et al. | Model predictive control for an AUV with dynamic path planning | |
CN105974930A (en) | Method for tracking movement mother ship by UUV (Unmanned Underwater Vehicle) based on nonlinear model predictive control | |
Zanon et al. | Control of dual-airfoil airborne wind energy systems based on nonlinear mpc and mhe | |
CN110262513B (en) | Design method of marine robot trajectory tracking control structure | |
Yan et al. | Real-world learning control for autonomous exploration of a biomimetic robotic shark | |
CN105487386A (en) | UUV adaptive fuzzy sliding-mode control method under strong disturbance of load arranging | |
Wang et al. | Autonomous piloting and berthing based on Long Short Time Memory neural networks and nonlinear model predictive control algorithm | |
CN113674310B (en) | Four-rotor unmanned aerial vehicle target tracking method based on active visual perception |
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 |