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Updated: Jan 1, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
Published on: February 16, 2019
Adaptive trajectory tracking control for remotely operated vehicles considering thruster dynamics and saturation
Zhenzhong Chu1, Xianbo Xiang2, Daqi Zhu3
1School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, China; Shanghai Engineering Research Center of Intelligent Maritime Search/Rescue and Underwater Vehicles, Shanghai Maritime University, Shanghai, China.
Abstract:
This paper discusses the problem of adaptive trajectory tracking control for remotely operated vehicles (ROVs). Considering thruster dynamics, a third-order state space equation is used to describe the dynamic model of ROVs. For the problem of unknown dynamics and partially known input gain, an adaptive sliding mode control design scheme based on RBF neural networks is developed using a backstepping design technique. Because of the saturation constraints of the thrusters, a first-order auxiliary state system is applied, and subsequently, a saturation factor is constructed for designing adaptive laws to ensure the stability of the adaptive trajectory tracking system when the thrusters are saturated. The proposed controller guaranteed that trajectory tracking errors are uniformly ultimately bounded (UUD). Finally, the effectiveness of the proposed controller is verified by simulations.
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