Trajectory tracking control for multi-thruster AUV considering thruster delay effects

This paper studies the problem of trajectory tracking control for a multi-thruster Autonomous Underwater Vehicle (AUV) considering the effects of thruster delays. An improved adaptive backstepping sliding mode control strategy (IABSMC) is proposed to ensure accurate trajectory tracking. By utilizing an adaptive disturbance observer, the disturbances experienced by the AUV during underwater driving can be effectively observed. To settle the potential issue of thruster delays, a thrust allocation algorithm based on Particle Swarm Optimization (PSO) and Model Predictive Control (MPC) is introduced in this paper. This algorithm enables real-time allocation of thrust between delayed and normal thrusters, reducing the negative effect of thrust delays. Results indicates that, compared with Sliding Mode Control (SMC), the proposed control strategy is more effective in reducing tracking errors and maintaining stability in the presence of thruster delay. It also exhibits good inhibition of chattering, and the adaptive disturbance observer effectively observed the interference caused by underwater currents.

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Publication Details

Journal
Journal of Vibration and Control
Published
2025-12-09
DOI
https://doi.org/10.1177/10775463251362301
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Trajectory tracking control for multi-thruster AUV considering thruster delay effects

Q Li, Zijian Zhu, Fengchi Xu, Yuxin Li et al.
Journal of Vibration and Control
Adaptive Control of Nonlinear Systems
article

Trajectory tracking control for multi-thruster AUV considering thruster delay effects

Q Li, Zijian Zhu, Fengchi Xu, Yuxin Li, Ye Li, Guocheng Zhang, Jiaguang Wei
article en

Abstract

This paper studies the problem of trajectory tracking control for a multi-thruster Autonomous Underwater Vehicle (AUV) considering the effects of thruster delays. An improved adaptive backstepping sliding mode control strategy (IABSMC) is proposed to ensure accurate trajectory tracking. By utilizing an adaptive disturbance observer, the disturbances experienced by the AUV during underwater driving can be effectively observed. To settle the potential issue of thruster delays, a thrust allocation algorithm based on Particle Swarm Optimization (PSO) and Model Predictive Control (MPC) is introduced in this paper. This algorithm enables real-time allocation of thrust between delayed and normal thrusters, reducing the negative effect of thrust delays. Results indicates that, compared with Sliding Mode Control (SMC), the proposed control strategy is more effective in reducing tracking errors and maintaining stability in the presence of thruster delay. It also exhibits good inhibition of chattering, and the adaptive disturbance observer effectively observed the interference caused by underwater currents.

Journal of Vibration and Control
Harbin Engineering University (CN), China National Offshore Oil Corporation (China) (CN), Systems Engineering Society of China (CN)
Openalex Percentile: Top 51%
Adaptive Control of Nonlinear Systems
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