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Publishing Language: Chinese

Accurate prescribed-performance tracking control of ROV with limited thrust

Ting LU1Ning WANG2( )Renhui WANG1
Marine Electrical Engineering College, Dalian Maritime University, Dalian 116026, China
Marine Engineering College, Dalian Maritime University, Dalian 116026, China
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Abstract

Objective

This study explores the limited thrust/torque of a remotely operated vehicle (ROV) by addressing the difficulty of achieving precise control in prescribed-performance 3D trajectory tracking. Considering unknown factors such as system uncertainty and underwater environmental disturbances, an accurate tracking control scheme is proposed on the basis of a finite-time extended state observer and prescribed-performance transformation to ensure the rapid stabilization of trajectory tracking errors.

Method

First, a compensation system is designed to eliminate the thruster input saturation constraint. Second, a finite-time extended state observer is designed to perform lumped observation and compensation for external disturbances and unknown system dynamics. Furthermore, based on the prescribed-performance function and error conversion function, the tracking error limited by the prescribed-performance is transformed into an unrestricted tracking error; an integral sliding mode is constructed; and the fast power reaching law and boundary layer are utilized to reduce the buffeting of the actuator. Finally, the Lyapunov theory is used to prove the overall stability of the proposed algorithm.

Results

The simulation results verify the effectiveness and superiority of the designed control method.

Conclusion

This study can provide a new solution for the accurate prescribed-performance control of the trajectory tracking of an ROV with constrained thrust under lumped disturbance.

CLC number: U674.941 Document code: A

References

【1】
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Chinese Journal of Ship Research
Pages 48-56

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Cite this article:
LU T, WANG N, WANG R. Accurate prescribed-performance tracking control of ROV with limited thrust. Chinese Journal of Ship Research, 2023, 18(3): 48-56. https://doi.org/10.19693/j.issn.1673-3185.02787

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Received: 27 January 2022
Revised: 07 May 2022
Published: 02 June 2023
© 2023 Chinese Journal of Ship Research.