An Effective Motion. Control Based on 2-DOF PID and ELM for AUV

被引:0
|
作者
Liu, Wenqian [1 ]
Ding, Xin [1 ]
Wan, JunHe [1 ]
Nian, Rui [1 ]
He, Bo [1 ]
Shen, Yue [1 ]
Yan, Tianhong [2 ]
机构
[1] Ocean Univ China, Sch Informat Sci & Engn, Songling Rd 238, Qingdao 266100, Peoples R China
[2] China Jiliang Univ, Sch Mech & Elect Engn, 258 Xueyuan St,Xiasha High Edu Pk, Hangzhou 310018, Zhejiang, Peoples R China
关键词
Autonomous underwater vehicle; the feed-forward 2-DOF PID control; Extreme Learning Machine;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In the complex sea conditions, autonomous underwater vehicle (AUV) need to perform some high-precision tasks, which requires the motion control of AUV have the best command tracking performance, anti-interference ability and robustness. We adopt an effective feed-forward two degree-of-freedom (2-DOF) PID control to ensure the motion control system of AUV have better anti-interference ability and command tracking performance, and use Extreme Learning Machine (ELM) to learn and train corresponding parameters set in order to obtain appropriate parameters quickly and reduces the cumbersome process of artificially adjusting the parameters. The horizontal experiments have been carried out in December 2017 and April 2018 at TuanDao bay, QingDao using own AUV platform, Sailfish.
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页数:4
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