Ship Motion Control Based on AMBPS-PID Algorithm
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 imp...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8933385/ |
_version_ | 1819174477033897984 |
---|---|
author | Le Wang Qing Wu Jialun Liu Shijie Li Rudy R. Negenborn |
author_facet | Le Wang Qing Wu Jialun Liu Shijie Li Rudy R. Negenborn |
author_sort | Le Wang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-22T20:39:35Z |
format | Article |
id | doaj.art-0f8e564a661d428db4042d959d50b16f |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T20:39:35Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-0f8e564a661d428db4042d959d50b16f2022-12-21T18:13:22ZengIEEEIEEE Access2169-35362019-01-01718365618367110.1109/ACCESS.2019.29600988933385Ship Motion Control Based on AMBPS-PID AlgorithmLe Wang0https://orcid.org/0000-0002-5485-1076Qing Wu1https://orcid.org/0000-0002-1435-6556Jialun Liu2https://orcid.org/0000-0002-0802-8986Shijie Li3https://orcid.org/0000-0003-0025-760XRudy R. Negenborn4https://orcid.org/0000-0001-9784-1225School of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaSchool of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaNational Engineering Research Center for Water Transport Safety, Wuhan, ChinaSchool of Logistics Engineering, Wuhan University of Technology, Wuhan, ChinaDepartment of Maritime and Transport Technology, Delft University of Technology, Delft, The NetherlandsIntelligent 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.https://ieeexplore.ieee.org/document/8933385/Motion controlheading controlpath followingAMBPS-PID algorithm |
spellingShingle | Le Wang Qing Wu Jialun Liu Shijie Li Rudy R. Negenborn Ship Motion Control Based on AMBPS-PID Algorithm IEEE Access Motion control heading control path following AMBPS-PID algorithm |
title | Ship Motion Control Based on AMBPS-PID Algorithm |
title_full | Ship Motion Control Based on AMBPS-PID Algorithm |
title_fullStr | Ship Motion Control Based on AMBPS-PID Algorithm |
title_full_unstemmed | Ship Motion Control Based on AMBPS-PID Algorithm |
title_short | Ship Motion Control Based on AMBPS-PID Algorithm |
title_sort | ship motion control based on ambps pid algorithm |
topic | Motion control heading control path following AMBPS-PID algorithm |
url | https://ieeexplore.ieee.org/document/8933385/ |
work_keys_str_mv | AT lewang shipmotioncontrolbasedonambpspidalgorithm AT qingwu shipmotioncontrolbasedonambpspidalgorithm AT jialunliu shipmotioncontrolbasedonambpspidalgorithm AT shijieli shipmotioncontrolbasedonambpspidalgorithm AT rudyrnegenborn shipmotioncontrolbasedonambpspidalgorithm |