CN104076688A - Master-slave type cooperative control method for autonomous underwater vehicles - Google Patents
Master-slave type cooperative control method for autonomous underwater vehicles Download PDFInfo
- Publication number
- CN104076688A CN104076688A CN201410339264.XA CN201410339264A CN104076688A CN 104076688 A CN104076688 A CN 104076688A CN 201410339264 A CN201410339264 A CN 201410339264A CN 104076688 A CN104076688 A CN 104076688A
- Authority
- CN
- China
- Prior art keywords
- disturbance
- ocean current
- cooperative control
- autonomous underwater
- motion model
- 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.)
- Pending
Links
Landscapes
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The invention discloses a master-slave type cooperative control method for autonomous underwater vehicles. The method comprises the first step of regarding an external ocean current as external disturbance and conducting mathematical modeling on the external ocean current with regard to influences of the external ocean current, the second step of establishing an inertial coordinate system of a system and conducting vector resolution on relative speeds of the two underwater vehicles in the direction of a connecting line between the centroids of the two underwater vehicles and the direction perpendicular to the connecting line, and establishing a cooperative control motion model of the system, the third step of converting an original system motion model into a linear system model with the external disturbance through a feedback linearization method, and the fourth step of designing an optimal feedforward-feedback controller of the system motion model after conversion in order to suppress influences of the external disturbance. Through the master-slave type cooperative control method, one autonomous underwater vehicle can be controlled with high tracking accuracy and low driving energy to track the other autonomous underwater vehicle at a certain angle and distance on the condition of existence of the ocean current and other external disturbance, so cooperative control over the autonomous underwater vehicles can be achieved.
Description
Technical field
The present invention relates to a kind of control method, particularly relate to a kind of Autonomous Underwater Vehicle master-slave mode cooperative control method.
Background technology
The Collaborative Control of many Autonomous Underwater Vehicles (AUVs) is significant for oceanographic survey and ocean development etc.Many AUVs assist Collaborative Control can significantly improve the ability that comprises ocean sampling, imaging, supervision and numerous application aspect of communicating by letter of AUV.Compare with land multirobot (or multiple agent) Collaborative Control, many AUVs Collaborative Control is difficulty especially.Although many AUVs Collaborative Control problem has been subject to paying attention to widely in recent years, the research of many AUVs Collaborative Control is ripe unlike land multirobot (or multiple agent) Collaborative Control.Correlative study about many AUVs Collaborative Control is at the early-stage, and its result of study is mainly to have used for reference land multirobot (or multiple agent) coordination control strategy.In document <Multi-AUV control and adaptive sampling in Monterey Bay>, Fiorelli etc. has carried out the Collaborative Control of many AUVs and the experiment of adaptively sampled research in Monterey bay, it has used the fast running of the many AUVs of modularization based on cable and has kept away barrier and control, and is limited to the length of cable not completely from main control.In document <High precision formation control of mobile robots using virtual structure approach>, adopted centralized virtual architecture cooperative control method, adopted virtual architecture formation framework to realize the Collaborative Control of robot, but virtual architecture is imagination to be existed, in reality, do not exist, limited practical engineering application.Do has studied the Collaborative Control problem of land robot in the limited situation of communication in document <Formation tracking control of unicycle-type mobile robots with limited sensing ranges>, but it does not consider the disturbing influence of ocean current to system under water.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of Autonomous Underwater Vehicle master-slave mode cooperative control method, it can be under disturbance outside ocean current etc. exists, with higher tracking accuracy and less driving-energy, control an Autonomous Underwater Vehicle and follow the tracks of another Autonomous Underwater Vehicle with certain angle and distance, can realize the Collaborative Control of Autonomous Underwater Vehicle.
The present invention solves above-mentioned technical matters by following technical proposals: a kind of Autonomous Underwater Vehicle master-slave mode cooperative control method, it is characterized in that, it comprises the following steps: consider the impact of outside ocean current, outside ocean current is considered as to external disturbance and it is carried out to mathematical modeling; Set up system inertia coordinate system, the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, set up the Collaborative Control motion model of system; By feedback linearization method, original system motion model is converted into the Linear system model with external disturbance; In order to suppress the impact of external disturbance, designed the feedforward and Feedback Optimal Control device that transforms rear system motion model.
Preferably, the mathematical modeling of described outside ocean current disturbance is the external system model with persistent disturbances, by formula
describe, wherein G ∈ R
2 * 2for known scalar matrix, by ocean current disturbance characteristic, determined.So ocean current disturbance under water can be described as meeting the disturbance of following condition: all eigenwerts of matrix G meet Re[λ
i(G)] <0, i=1,2; The starting condition of outer disturbance is unknown.
Preferably, the described concrete steps of setting up Collaborative Control motion model under system inertia coordinate system are as follows: the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, the Collaborative Control motion model of setting up system, is specially: note A
ifor main robot, A
jwei Cong robot, A
jat a certain distance
and angle
follow the tracks of A
i, by designing suitable cooperative control method, make it to form the master-slave mode formation between Liang Ge robot; A
iand A
jcoordinate under inertial coordinates system is expressed as p
i=[x
iy
iθ
i]
tand p
j=[x
jy
jθ
j]
t; v
iand v
jbe respectively A
iand A
jactual speed, l
ijfor A
jto A
idistance,
for A
ithe angle of velocity reversal and the two line, d is that reference point arrives A
jthe distance of center of gravity, f
1and f
2for disturbance component under water in plane; Relative velocity is decomposed along line direction and vertical join line direction respectively:
Convenient for subsequent treatment, above formula is written as to vector form, definition
u
i=[v
iω
i]
t, f=[f
1f
2]
t, u
j=[v
jω
j]
t, β
ij=θ
i-θ
j,
wherein
Positive progressive effect of the present invention is: the present invention can be under disturbance outside ocean current etc. exists, with higher tracking accuracy and less driving-energy, control an Autonomous Underwater Vehicle and follow the tracks of another Autonomous Underwater Vehicle with certain angle and distance, can realize the Collaborative Control of Autonomous Underwater Vehicle.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of two aircraft cooperative control system models proposing of patent of the present invention;
Fig. 2 is the master-slave mode cooperative control method analogous diagram that can effectively suppress outer disturbance;
Fig. 3 is distance l between two aircraft
ijthe schematic diagram of variation tendency;
Fig. 4 is between two aircraft
the schematic diagram of variation tendency;
Fig. 5 is aircraft A
jthe schematic diagram of controller input quantity.
Embodiment
Below in conjunction with accompanying drawing, provide preferred embodiment of the present invention, to describe technical scheme of the present invention in detail.
The present invention includes following steps: consider the impact of outside ocean current, outside ocean current is considered as to external disturbance and it is carried out to mathematical modeling; Set up system inertia coordinate system, the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, set up the Collaborative Control motion model of system; By feedback linearization method, original system motion model is converted into the Linear system model with external disturbance; In order to suppress the impact of external disturbance, designed the feedforward and Feedback Optimal Control device that transforms rear system motion model.
The mathematical modeling of described outside ocean current disturbance is the external system model with persistent disturbances, by formula
describe, wherein G ∈ R
2 * 2for known scalar matrix, by ocean current disturbance characteristic, determined.So ocean current disturbance under water can be described as meeting the disturbance of following condition: all eigenwerts of matrix G meet Re[λ
i(G)] <0, i=1; The starting condition of outer disturbance is unknown.Because underwater robot energy storage is limited, consider system tracking error and driving-energy consumption problem, the optimize performance index of choosing coordinated control system is
by solving Riccati matrix equation, obtain feedforward and feedback optimal control law.
As shown in Figure 1, the present invention will be further described for example below, and concrete steps are:
(1) considering the movement characteristic of ocean current, is the external system model with persistent disturbances by outside ocean current interference modeling.By formula
describe, wherein G ∈ R
2 * 2for known scalar matrix, by ocean current disturbance characteristic, determined.
(2) set up inertial coordinates system, the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, set up the Collaborative Control motion model of system.Be specially: note A
ifor main robot, A
jwei Cong robot.A
jat a certain distance
and angle
follow the tracks of A
i, by designing suitable cooperative control method, make it to form the master-slave mode formation between Liang Ge robot.A
iand A
jcoordinate under inertial coordinates system is expressed as p
i=[x
iy
iθ
i]
tand p
j=[x
jy
jθ
j]
t; v
iand v
jbe respectively A
iand A
jactual speed, l
ijfor A
jto A
idistance,
for A
ithe angle of velocity reversal and the two line, d is that reference point arrives A
jthe distance of center of gravity, f
1and f
2for disturbance component under water in plane.Relative velocity is decomposed along line direction and vertical join line direction respectively, must be as shown in the formula (1):
Convenient for subsequent treatment, above formula is written as to vector form.We define
u
i=[v
iω
i]
t, f=[f
1f
2]
t, u
j=[v
jω
j]
t, β
ij=θ
i-θ
j,
wherein
(3) cooperative motion model (1) is adopted to I/O linearization method, by auxiliary control inputs and substitution of variable method are set, make cooperative motion model (1) be converted into linear system, as shown in the formula (2):
X=[x wherein
1x
2]
t, u=[v w]
t, here
F is for perturbation vector and its dynamic perfromance are under water by formula
g ∈ R is described
2 * 2for known scalar matrix.
(4) because underwater robot energy storage is limited, consider system tracking error and driving-energy consumption problem, the optimize performance index of choosing coordinated control system is
by solving Riccati matrix equation, obtaining feedforward and feedback optimal control law is as shown in the formula (3):
Wherein P is Riccati matrix equation as shown in the formula (4):
A
TP+PA-PSP+Q=0…………………………………………………(4)
Unique steady-state solution,
for matrix equation
unique solution, S=BR wherein
-1b
t.
The control strategy of realizing Collaborative Control is A
iby acceleration transducer and gyroscope, detect the speed v of self
i, angular velocity omega
i, drive towards angle θ
jand relatively drive towards angle
information, and pass through underwater sound communication mode to A
jsend data
a
jthe l measuring in conjunction with self sonar sensor
ijand the γ that calculates gained
ijcontrol, so just can realize A
jwith desired distance
and angle
follow the tracks of A
jthereby, realize the two master-slave mode Collaborative Control.
Instantiation of the present invention is as follows:
Its initial position of various sensor measurements and the attitude state that pass through self of main aircraft under inertial coordinates system.Original state is p
i(0)=[x
i(0) y
i(0) θ
i(0)]
t=[2m 1m π/6rad]
t, by acceleration and its speed of gyroscope survey and angular velocity, be respectively v=3.5m/s, ω=0rad/s and remaining unchanged.From aircraft, by self its initial position of various sensor measurements and attitude state, its original state is p
j(0)=[x
j(0) y
j(0) θ
j(0)]
t=[1.8m-1.2m 0rad]
t, desired spacing
angle is followed the tracks of in expectation
?
disturbance correlation matrix is as shown in the formula (5) under water:
Performance index correlation matrix is as shown in the formula (6):
Simulation step length τ=0.05s, simulation time T=200s; k
1=1, k
2=1, d=0.2m.
By having carried out emulation comparison with traditional optimum control, show that the optimum control based on feedforward and feedback can suppress the impact of outer disturbance on system, simulation result is as mistake! Do not find Reference source.-mistake! Do not find Reference source.Shown in.
Above-mentioned explanation is not limitation of the present invention, and the present invention is not limited in above-mentioned giving an example, and the variation that those skilled in the art make in essential scope of the present invention, remodeling, interpolation or replacement, also should belong to protection scope of the present invention.
Claims (3)
1. an Autonomous Underwater Vehicle master-slave mode cooperative control method, is characterized in that, it comprises the following steps: consider the impact of outside ocean current, outside ocean current is considered as to external disturbance and it is carried out to mathematical modeling; Set up system inertia coordinate system, the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, set up the Collaborative Control motion model of system; By feedback linearization method, original system motion model is converted into the Linear system model with external disturbance; In order to suppress the impact of external disturbance, designed the feedforward and Feedback Optimal Control device that transforms rear system motion model.
2. Autonomous Underwater Vehicle master-slave mode cooperative control method as claimed in claim 1, is characterized in that, the mathematical modeling of described outside ocean current disturbance is the external system model with persistent disturbances, by formula
describe, wherein G ∈ R
2 * 2for known scalar matrix, by ocean current disturbance characteristic, determined.So ocean current disturbance under water can be described as meeting the disturbance of following condition: all eigenwerts of matrix G meet Re[λ
i(G)] <0, i=1; The starting condition of outer disturbance is unknown.
3. Autonomous Underwater Vehicle master-slave mode cooperative control method as claimed in claim 1, it is characterized in that, the described concrete steps of setting up the Collaborative Control motion model under system inertia coordinate system are as follows: the relative velocity between two submarine navigation devices is carried out to resolution of vectors along line between their centres of form and vertical join line direction, the Collaborative Control motion model of setting up system, is specially: note A
ifor main robot, A
jwei Cong robot, A
jat a certain distance
and angle
follow the tracks of A
i, by designing suitable cooperative control method, make it to form the master-slave mode formation between Liang Ge robot; A
iand A
jcoordinate under inertial coordinates system is expressed as p
i=[x
iy
iθ
i]
tand p
j=[x
jy
jθ
j]
t; v
iand v
jbe respectively A
iand A
jactual speed, l
ijfor A
jto A
idistance,
for A
ithe angle of velocity reversal and the two line, d is A
jfront end reference point is to A
jthe distance of center of gravity, f
1and f
2for disturbance component under water in plane; Relative velocity is decomposed along line direction and vertical join line direction respectively:
Convenient for subsequent treatment, above formula is written as to vector form, definition
u
i=[v
iω
i]
t, f=[f
1f
2]
t, u
j=[v
jω
j]
t, β
ij=θ
i-θ
j,
wherein
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410339264.XA CN104076688A (en) | 2014-07-17 | 2014-07-17 | Master-slave type cooperative control method for autonomous underwater vehicles |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410339264.XA CN104076688A (en) | 2014-07-17 | 2014-07-17 | Master-slave type cooperative control method for autonomous underwater vehicles |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104076688A true CN104076688A (en) | 2014-10-01 |
Family
ID=51598024
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410339264.XA Pending CN104076688A (en) | 2014-07-17 | 2014-07-17 | Master-slave type cooperative control method for autonomous underwater vehicles |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104076688A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104635744A (en) * | 2014-12-18 | 2015-05-20 | 西北工业大学 | Random coupling and multi-load laying method for autonomous underwater vehicles |
CN107224692A (en) * | 2017-06-26 | 2017-10-03 | 福州大学 | The wheeled autonomous aiming extinguishing method of fire-fighting robot |
CN107544258A (en) * | 2017-10-17 | 2018-01-05 | 西北工业大学 | From the adaptive back stepping control method of principal mode submarine navigation device |
CN107656530A (en) * | 2016-07-26 | 2018-02-02 | 深圳华清精密科技有限公司 | Variable-parameter open-frame type ocean underwater robot trajectory tracking control method, device and system |
CN108664025A (en) * | 2018-05-11 | 2018-10-16 | 中国石油大学(华东) | A kind of random trace to the source tracking and controlling method and its system of offshore spilled oil |
CN108983612A (en) * | 2018-08-08 | 2018-12-11 | 华南理工大学 | A kind of underwater robot formation control method kept with default capabilities and connection |
CN110908393A (en) * | 2019-10-31 | 2020-03-24 | 中国矿业大学 | Underwater unmanned vehicle formation cooperation method based on detection and communication integration |
CN112717308A (en) * | 2021-02-05 | 2021-04-30 | 燕山大学 | Single-master multi-slave fire-fighting robot multi-mode fire extinguishing method |
CN113589831A (en) * | 2021-08-11 | 2021-11-02 | 江南大学 | Submersible control method and system based on interference fine estimation and neural network |
CN114637301A (en) * | 2022-03-23 | 2022-06-17 | 北京理工大学 | Multi-robot dynamic obstacle avoidance device and method based on optimal affine formation transformation |
CN116047908A (en) * | 2023-01-16 | 2023-05-02 | 齐齐哈尔大学 | Mixed-order heterogeneous multi-intelligent system collaborative optimal formation control method and equipment |
CN116339355A (en) * | 2023-03-03 | 2023-06-27 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle and formation tracking control method and device thereof |
-
2014
- 2014-07-17 CN CN201410339264.XA patent/CN104076688A/en active Pending
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104635744B (en) * | 2014-12-18 | 2017-06-06 | 西北工业大学 | A kind of autonomous underwater carrier Random Coupling multi-load lays method |
CN104635744A (en) * | 2014-12-18 | 2015-05-20 | 西北工业大学 | Random coupling and multi-load laying method for autonomous underwater vehicles |
CN107656530A (en) * | 2016-07-26 | 2018-02-02 | 深圳华清精密科技有限公司 | Variable-parameter open-frame type ocean underwater robot trajectory tracking control method, device and system |
CN107224692A (en) * | 2017-06-26 | 2017-10-03 | 福州大学 | The wheeled autonomous aiming extinguishing method of fire-fighting robot |
CN107544258B (en) * | 2017-10-17 | 2020-04-03 | 西北工业大学 | Self-adaptive inversion control method for autonomous underwater vehicle |
CN107544258A (en) * | 2017-10-17 | 2018-01-05 | 西北工业大学 | From the adaptive back stepping control method of principal mode submarine navigation device |
CN108664025A (en) * | 2018-05-11 | 2018-10-16 | 中国石油大学(华东) | A kind of random trace to the source tracking and controlling method and its system of offshore spilled oil |
CN108664025B (en) * | 2018-05-11 | 2019-05-24 | 山东大学 | A kind of trace to the source at random tracking and controlling method and its system of offshore spilled oil |
CN108983612A (en) * | 2018-08-08 | 2018-12-11 | 华南理工大学 | A kind of underwater robot formation control method kept with default capabilities and connection |
CN110908393A (en) * | 2019-10-31 | 2020-03-24 | 中国矿业大学 | Underwater unmanned vehicle formation cooperation method based on detection and communication integration |
CN112717308A (en) * | 2021-02-05 | 2021-04-30 | 燕山大学 | Single-master multi-slave fire-fighting robot multi-mode fire extinguishing method |
CN112717308B (en) * | 2021-02-05 | 2021-09-28 | 燕山大学 | Single-master multi-slave fire-fighting robot multi-mode fire extinguishing method |
CN113589831A (en) * | 2021-08-11 | 2021-11-02 | 江南大学 | Submersible control method and system based on interference fine estimation and neural network |
CN114637301A (en) * | 2022-03-23 | 2022-06-17 | 北京理工大学 | Multi-robot dynamic obstacle avoidance device and method based on optimal affine formation transformation |
CN116047908A (en) * | 2023-01-16 | 2023-05-02 | 齐齐哈尔大学 | Mixed-order heterogeneous multi-intelligent system collaborative optimal formation control method and equipment |
CN116047908B (en) * | 2023-01-16 | 2023-10-13 | 齐齐哈尔大学 | Mixed-order heterogeneous multi-intelligent system collaborative optimal formation control method and equipment |
CN116339355A (en) * | 2023-03-03 | 2023-06-27 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle and formation tracking control method and device thereof |
CN116339355B (en) * | 2023-03-03 | 2023-10-20 | 新兴际华(北京)智能装备技术研究院有限公司 | Underwater vehicle and formation tracking control method and device thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104076688A (en) | Master-slave type cooperative control method for autonomous underwater vehicles | |
CN107024863B (en) | UUV trajectory tracking control method for avoiding differential explosion | |
CN105807789B (en) | UUV control methods based on the compensation of T-S Fuzzy Observers | |
Liu et al. | Path following control of the underactuated USV based on the improved line-of-sight guidance algorithm | |
Almeida et al. | Cooperative control of multiple surface vessels in the presence of ocean currents and parametric model uncertainty | |
CN109634307B (en) | Unmanned underwater vehicle composite track tracking control method | |
CN103955218B (en) | A kind of unmanned boat Trajectory Tracking Control device and method based on Non-Linear Control Theory | |
CN101833338B (en) | Autonomous underwater vehicle vertical plane under-actuated motion control method | |
Wang et al. | AUV near-wall-following control based on adaptive disturbance observer | |
Tran et al. | Robust depth control of a hybrid autonomous underwater vehicle with propeller torque's effect and model uncertainty | |
Adhami-Mirhosseini et al. | Automatic bottom-following for underwater robotic vehicles | |
Barisic et al. | Sigma-point Unscented Kalman Filter used for AUV navigation | |
He et al. | A distributed parallel motion control for the multi-thruster autonomous underwater vehicle | |
Qi | Spatial target path following control based on Nussbaum gain method for underactuated underwater vehicle | |
Qi et al. | Three-dimensional formation control based on filter backstepping method for multiple underactuated underwater vehicles | |
Martin et al. | Preliminary experiments in comparative experimental identification of six degree-of-freedom coupled dynamic plant models for underwater robot vehicles | |
Sgorbissa et al. | 3D path following with no bounds on the path curvature through surface intersection | |
Pang et al. | Multi-AUV formation reconfiguration obstacle avoidance algorithm based on affine transformation and improved artificial potential field under ocean currents disturbance | |
Wu et al. | Homing tracking control of autonomous underwater vehicle based on adaptive integral event-triggered nonlinear model predictive control | |
CN116560269A (en) | Unmanned ship control method based on fixed time extended state observer | |
Xu et al. | Path following control for large inland ships in a restricted waterway using the nonlinear terminal sliding mode method | |
CN115480580A (en) | NMPC-based underwater robot path tracking and obstacle avoidance control method | |
CN112904719B (en) | Annular area tracking control method suitable for underwater robot position | |
Qi et al. | Spatial target path following and coordinated control of multiple UUVs | |
Gao et al. | Backstepping adaptive docking control for a full-actuated autonomous underwater vehicle with onboard USBL system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141001 |
|
RJ01 | Rejection of invention patent application after publication |