Dual closed loop AUV trajectory tracking control based on finite time and state observer

Xiaoqiang Dai; Hewei Xu; Hongchao Ma; Jianjun Ding; Qiang Lai; Xiaoqiang Dai; Hewei Xu; Hongchao Ma; Jianjun Ding; Qiang Lai

doi:10.3934/mbe.2022517

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 11: 11086-11113. doi: 10.3934/mbe.2022517

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Research article

Dual closed loop AUV trajectory tracking control based on finite time and state observer

1.
School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China
2.
Shanghai Hunter Hydraulic Control Technology Co, Ltd, Shanghai 201612, China

Academic Editor: Runzhang Xu

Received: 19 June 2022 Revised: 22 July 2022 Accepted: 28 July 2022 Published: 03 August 2022

The three-dimensional trajectory tracking of AUV is an important basis for it to complete its task. Due to many uncertain disturbances such as wind, wave and current on the sea, it is easy to cause problems such as slow convergence speed of the controller and saturation of the controller output in the three-dimensional trajectory tracking control of AUV. And the dynamic uncertainty of AUV's own model will have a great negative impact on AUV's trajectory tracking control. In order to solve the problem of slow convergence speed of the above controller, the finite time control method is introduced into the designed position controller. In order to solve the problem of AUV controller output saturation, an auxiliary dynamic system is designed to compensate the system control output saturation. In order to solve the uncertainty of AUV model, a reduced order extended observer is designed in the dynamic controller. It can observe the motion parameters of AUV at any time, and compensate the uncertainty of model uncertainty and external environment disturbance in real time. The control method in this paper is simulated in a three-dimensional model. The experimental results show that the convergence speed, control accuracy, robustness and tracking effect of AUV are higher than those of common trajectory tracker. The algorithm is loaded into the "sea exploration Ⅱ" AUV and verified by experiments in Suzhou lake. The effect of AUV navigation basically meets the task requirements, in which the mean value of pitch angle and heading angle error is less than 8 degrees and the mean value of depth error is less than 0.1M. The trajectory tracker can better meet the trajectory tracking control needs of the AUV.
- AUV,
- trajectory tracking control,
- adaptive finite time control,
- reduced-order extended state observer,
- filter integral sliding mode
Citation: Xiaoqiang Dai, Hewei Xu, Hongchao Ma, Jianjun Ding, Qiang Lai. Dual closed loop AUV trajectory tracking control based on finite time and state observer[J]. Mathematical Biosciences and Engineering, 2022, 19(11): 11086-11113. doi: 10.3934/mbe.2022517

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Abstract

The three-dimensional trajectory tracking of AUV is an important basis for it to complete its task. Due to many uncertain disturbances such as wind, wave and current on the sea, it is easy to cause problems such as slow convergence speed of the controller and saturation of the controller output in the three-dimensional trajectory tracking control of AUV. And the dynamic uncertainty of AUV's own model will have a great negative impact on AUV's trajectory tracking control. In order to solve the problem of slow convergence speed of the above controller, the finite time control method is introduced into the designed position controller. In order to solve the problem of AUV controller output saturation, an auxiliary dynamic system is designed to compensate the system control output saturation. In order to solve the uncertainty of AUV model, a reduced order extended observer is designed in the dynamic controller. It can observe the motion parameters of AUV at any time, and compensate the uncertainty of model uncertainty and external environment disturbance in real time. The control method in this paper is simulated in a three-dimensional model. The experimental results show that the convergence speed, control accuracy, robustness and tracking effect of AUV are higher than those of common trajectory tracker. The algorithm is loaded into the "sea exploration Ⅱ" AUV and verified by experiments in Suzhou lake. The effect of AUV navigation basically meets the task requirements, in which the mean value of pitch angle and heading angle error is less than 8 degrees and the mean value of depth error is less than 0.1M. The trajectory tracker can better meet the trajectory tracking control needs of the AUV.

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