Adaptive Self-Regulation PID Control of Course-Keeping for Ships-Reference-Cited by-同舟云学术

Adaptive Self-Regulation PID Control of Course-Keeping for Ships

Published:2020-03-01 Issue:1 Volume:27 Page:39-45
ISSN:2083-7429
Container-title:Polish Maritime Research
language:en
Short-container-title:

Author:

Zhang Qiang¹,Ding Zhongyu¹,Zhang Meijuan¹

Affiliation:

1. Shandong Jiaotong University , Weihai , China

Abstract

Abstract To solve the nonlinear control problems of the unknown time-varying environmental disturbances and parametric uncertainties for ship course-keeping control, this paper presents an adaptive self-regulation PID (APID) scheme which can ensure the boundedness of all signals in the ship course-keeping control system by using the Lyapunov direct method. Compared with the traditional PID control scheme, the APID control scheme not only is independent of the model parameters and the unknown input, but also can regulate the gain of PID adaptively and resist time-varying disturbances well. Simulation results illustrate the effectiveness and the robustness of the proposed control scheme.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Ocean Engineering

Link

https://www.sciendo.com/pdf/10.2478/pomr-2020-0004

Reference26 articles.

1. 1. Bu R. X., Liu Z. J., Li T. S. (2006): Nonlinear Iterative Sliding Mode Variable Structure PID Control for Ship Heading. Journal of Dalian Maritime University, 2, 9–11.

2. 2. Chen W. Q., Chen J., Zhang W. (2016): Adaptive Neural Network Robust Tracking Control for Ship Course. Ship Engineering, 9, 15–20.

3. 3. Chen X. J., Zhang X. K. (2015): Nonlinear feedback control based on ANFIS. 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, pp. 559–563.

4. 4. Fu Y. Y. (2017): Study of simulated annealing algorithm in parameter optimization of PID controller for ship course. Ship Science and Technology, 2, 25–27.

5. 5. Ghommam J., Ferik S., Saad M. (2018): Robust adaptive path-following control of underactuated marine vessel with off-track error constraint. International Journal of Systems Science, 49(07), 1540–1558, DOI: 10.1080/00207721.2018.1460412.10.1080/00207721.2018.1460412

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Path-following control of autonomous tugs based on Gaussian process regression and arithmetic optimization algorithm;2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA);2024-05-10

2. PSO-Based Predictive PID-Backstepping Controller Design for the Course-Keeping of Ships;Journal of Marine Science and Engineering;2024-01-23

3. Development of a Ship's Course Controller using μ-synthesis;WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL;2023-12-31

4. Event-Triggered Adaptive Neural Network Trajectory Tracking Control For Underactuated Ships Under Uncertain Disturbance;Polish Maritime Research;2023-09-01

5. Ship Adaptive RBF Neural Network Course Keeping Control Considering System Uncertainty;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12