4.7 Article

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

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2022.843020

Keywords

AUV (autonomous underwater vehicle); ADRC (active disturbance rejection control); PSO (partial swarm optimization); attitude control; anti-disturbance control

Funding

  1. National Natural Science Foundation of China [52075530, 51575407, 51505349, 51975324, 61733011, 41906177]
  2. Hubei Provincial Department of Education [D20191105]
  3. National Defense PreResearch Foundation of Wuhan University of Science and Technology [GF201705]
  4. Open Fund of the Key Laboratory for Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology [2018B07, 2019B13]
  5. Open Fund of Hubei Key Laboratory of Hydroelectric Machinery Design andMaintenance in Three Gorges University [2020KJX02, 2021KJX13]

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This paper proposes a decoupling control algorithm for the problem of severe coupling in the control system of attitude of six degrees of freedom Autonomous Underwater Vehicle. A single control volume-single attitude angle model is constructed. The PSO-ADRC algorithm is used for the automatic adjustment of parameters, improving the anti-interference ability and control accuracy of Autonomous Underwater Vehicle in dynamic environment.
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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