Attitude Stabilization Control of Autonomous Underwater Vehicle Based on Decoupling Algorithm and PSO-ADRC

Autonomous Underwater Vehicle are widely used in industries, such as marine resource exploitation and fish farming, but they are often subject to a large amount of interference which cause poor control stability, while performing their tasks. A decoupling control algorithm is proposed and A single c...

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Published inFrontiers in bioengineering and biotechnology Vol. 10; p. 843020
Main Authors Wu, Xiong, Jiang, Du, Yun, Juntong, Liu, Xin, Sun, Ying, Tao, Bo, Tong, Xiliang, Xu, Manman, Kong, Jianyi, Liu, Ying, Zhao, Guojun, Fang, Zifan
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 28.02.2022
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ISSN2296-4185
2296-4185
DOI10.3389/fbioe.2022.843020

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Summary:Autonomous Underwater Vehicle are widely used in industries, such as marine resource exploitation and fish farming, but they are often subject to a large amount of interference which cause poor control stability, while performing their tasks. A decoupling control algorithm is proposed and A single control volume–single attitude angle model is constructed for the problem of severe coupling in the control system of attitude of six degrees of freedom Autonomous Underwater Vehicle. Aiming at the problem of complex Active Disturbance Rejection Control (ADRC) adjustment relying on manual experience, the PSO-ADRC algorithm is proposed to realize the automatic adjustment of its parameters, which improves the anti-interference ability and control accuracy of Autonomous Underwater Vehicle in dynamic environment. The anti-interference ability and control accuracy of the method were verified through experiments.
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Edited by: Tinggui Chen, Zhejiang Gongshang University, China
This article was submitted to Bionics and Biomimetics, a section of the journal Frontiers in Bioengineering and Biotechnology
Corina Barbalata, Louisiana State University, United States
Reviewed by: Mohd Shahrieel Mohd Aras, Technical University of Malaysia Malacca, Malaysia
ISSN:2296-4185
2296-4185
DOI:10.3389/fbioe.2022.843020