Path following of ships based on high order nonlinear observer

Yi Fan; Renxiang Bu; Xianghui Liu

doi:10.1117/12.2639168

15 July 2022 Path following of ships based on high order nonlinear observer

Yi Fan, Renxiang Bu, Xianghui Liu

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122582N (2022) https://doi.org/10.1117/12.2639168
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

In the process of research on ship path tracking control, considering that the rudder angle needs to be optimized and the rudder amplitude and speed are constrained, this paper proposes a model predictive control (MPC) algorithm. High-order nonlinear observers are designed to avoid the impact of environmental interference and solve the problem that the highorder state value of the system is not easy to measure. At the same time, the speed state of the ship and the total unknown items including model uncertainties and external interference are estimated. The prediction model in the article uses a separate ship model that considers the response system of the steering gear, which makes the ship motion control more in line with the actual situation and improves the accuracy. Finally, it is verified by Matlab simulation. The designed controller enables the ship to track the reference path under the time-varying disturbance of wind, waves and currents, and the rudder angle is small and smooth. The results show the effectiveness of the design.

Citation Download Citation

Yi Fan, Renxiang Bu, and Xianghui Liu "Path following of ships based on high order nonlinear observer", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122582N (15 July 2022); https://doi.org/10.1117/12.2639168

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