Underactuated multi-unmanned ship formation tracking method based on master-slave distributed model predictive control

A model predictive control and unmanned ship technology, applied in the direction of adaptive control, general control system, non-electric variable control, etc., can solve the problem of centralized control with huge amount of calculation, limited detection range, central CPU cannot meet real-time requirements, etc. problem, to achieve the effect of reducing the amount of calculation and solving the thrust constraint

Active Publication Date: 2018-12-18
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0005] At present, some achievements have been made in using multiple unmanned ships to solve the problem of formation tracking control, but there are mainly the following defects: 1) Some existing research results adopt a centralized model, or require global information, which is impractical
Specifically, some methods need to assume that the target information can be detected by each subsystem, which essentially requires global information, and in actual tracking tasks, not all unmanned ships can detect the target due to the limited detection range information
In addition, as the number of unmanned ships in the formation increases, the calculation amount of centralized control will be huge, and the central CPU may not be able to meet the real-time requirements.
2) Some research results do not consider the constraints of actual optimization performanc...

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  • Underactuated multi-unmanned ship formation tracking method based on master-slave distributed model predictive control
  • Underactuated multi-unmanned ship formation tracking method based on master-slave distributed model predictive control
  • Underactuated multi-unmanned ship formation tracking method based on master-slave distributed model predictive control

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specific Embodiment approach

[0053] The present invention is described in detail below in conjunction with accompanying drawing, here take three unmanned ship formations as an example, and the specific implementation is as follows:

[0054] Step 1. Discretize it according to the unmanned ship mathematical model:

[0055]

[0056] m=30.5; g=9.81; I zz = 3.45; x u =-7.8; Y v =-262; N r =-188;

[0057] According to the mathematical model of unmanned ship tracking error, it is discretized:

[0058]

[0059] Step 2. Establish the main unmanned ship performance index:

[0060]

[0061] Q=diag([100,110,100,1,1,1]); P=diag([100,110,100,1,1,1]); R=diag([0.01,0.01]); N=40; initial value x 1 (0)=[-15,5,0,0,0,0] T ,x d (0)=[0,0,0,1,0,0] T Target input u d (k+m|k)=[10,5] T . The control variables satisfy the constraints: Solving the optimization problem P 1 , to get the optimal input at time k Apply its first input to the main drone.

[0062] Step 3. Establish performance indicators from...

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Abstract

The invention relates to an optimized formation tracking control method based on distributed model predictive control and belongs to the field of motion control of underactuated multi-surface unmannedships. The method comprises the following steps: 1) establishing an underactuated unmanned ship motion model and a tracking error model; 2) establishing a performance index of a master unmanned ship,proposing a model predictive tracking control algorithm, and calculating an optimal input at the current time according to the performance index thereof; 3) based on the acquired neighbor node information, establishing the performance index of each unmanned ship, respectively, proposing a distributed model predictive control algorithm and calculating an optimized input of the current time according to the performance index; 4) updating the predictive information and continuously and iteratively optimizing the formation of the whole unmanned ship so that a certain formation is kept between theunmanned ships so as to track the target unmanned ship.

Description

technical field [0001] The invention belongs to the field of motion control of multiple underactuated surface unmanned ships, in particular to an optimized formation tracking control method based on distributed model predictive control. Background technique [0002] Unmanned ships have the characteristics of being unmanned and controllable. In recent years, they have received more and more attention, and have gradually become an important development direction in modern ocean observation technology. In the development and detection of some unknown areas or potentially dangerous areas, the use of unmanned ships can greatly reduce manpower and risk factors. Unmanned ships not only have the above-mentioned advantages, but also have incomparable advantages in terms of price. Compared with expensive AUVs, small ships with positioning, navigation and control functions of tens of thousands to one hundred thousand yuan are cheaper. The cost performance advantage is self-evident. U...

Claims

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Application Information

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IPC IPC(8): G05D1/02G05B13/04
CPCG05B13/042G05D1/0206
Inventor 李慧平崔迪严卫生
Owner NORTHWESTERN POLYTECHNICAL UNIV
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