Regular Papers

International Journal of Control, Automation and Systems 2023; 21(3): 755-763

Published online February 11, 2023

https://doi.org/10.1007/s12555-021-0782-9

© The International Journal of Control, Automation, and Systems

ESPO Based Course-tracking Control of Ships with Input Delay

Yanbin Wu, Pengfei Gao, Rui Wu, and Jialu Du*

Dalian Maritime University

Abstract

Consider the course-tracking control issue of ships with the dynamic parameter uncertainties, unknown time-varying ocean environment disturbance, and input delay. This paper creates a novel ship course-tracking control solution scheme under a uniformed framework such that the ship course tracks the desired course. Therein, an extended state predictor observer (ESPO) is constructed to estimate the course and the yaw rate of ships as well as the total disturbance caused by ship dynamic parameter uncertainties and unknown time-varying environment disturbance at the future instants, and whereby eventually contributes to compensating both the input delay and the total disturbance. Theoretical analyses indicate that our developed ship course-tracking control law with ESPO achieves the uniform stability of ship course-tracking closed-loop control system. Simulation results and simulation comparisons on a frigate demonstrate the effectiveness and superiority of our developed control law for ships with input delay.

Keywords Dynamic parameter uncertainties, extended state predictor observer, input delay, ship course-tracking, unknown time-varying ocean environment disturbance.

Article

Regular Papers

International Journal of Control, Automation and Systems 2023; 21(3): 755-763

Published online March 1, 2023 https://doi.org/10.1007/s12555-021-0782-9

Copyright © The International Journal of Control, Automation, and Systems.

ESPO Based Course-tracking Control of Ships with Input Delay

Yanbin Wu, Pengfei Gao, Rui Wu, and Jialu Du*

Dalian Maritime University

Abstract

Consider the course-tracking control issue of ships with the dynamic parameter uncertainties, unknown time-varying ocean environment disturbance, and input delay. This paper creates a novel ship course-tracking control solution scheme under a uniformed framework such that the ship course tracks the desired course. Therein, an extended state predictor observer (ESPO) is constructed to estimate the course and the yaw rate of ships as well as the total disturbance caused by ship dynamic parameter uncertainties and unknown time-varying environment disturbance at the future instants, and whereby eventually contributes to compensating both the input delay and the total disturbance. Theoretical analyses indicate that our developed ship course-tracking control law with ESPO achieves the uniform stability of ship course-tracking closed-loop control system. Simulation results and simulation comparisons on a frigate demonstrate the effectiveness and superiority of our developed control law for ships with input delay.

Keywords: Dynamic parameter uncertainties, extended state predictor observer, input delay, ship course-tracking, unknown time-varying ocean environment disturbance.

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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eISSN 2005-4092
pISSN 1598-6446