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Ship Motion Control Based on AMBPS-PID Algorithm

Authors :
Le Wang
Qing Wu
Jialun Liu
Shijie Li
Rudy R. Negenborn
Source :
IEEE Access, Vol 7, Pp 183656-183671 (2019)
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Intelligent motion control is one of the key technologies of ships. This paper studies the application of Adaptive Mutation Beetle Particle Swarm (AMBPS)-PID algorithm in ship motion control. Firstly, the ship MMG model is established. Then the BAS algorithm is introduced, and AMBPS algorithm is improved and designed on this basis. Secondly, ship heading and path following controllers are designed according to the algorithm, and rudder turning rate constraint is introduced to limit the rudder angle. Thirdly, through the test function effect analysis of AMBPS and other similar algorithms, the improved effect of this algorithm is verified. Finally, from manual tuning PID parameters to off-line and on-line optimizing parameters based on AMBPS algorithm, the optimal control parameters are obtained step by step, and the optimal heading and path following simulation results are achieved. Compared with the results of traditional PID, AMBPS-PID algorithm has a better adaptive control effect on ship motion control, reduces the error of manual tuning parameters and improves efficiency.

Details

Language :
English
ISSN :
21693536
Volume :
7
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.0f8e564a661d428db4042d959d50b16f
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2019.2960098