∞ function-based robust sliding mode control for remotely operated vehicles: Theory, simulations, and experiments

被引:0
作者
Chen, Hongxuan [1 ,2 ]
Tang, Guoyuan [1 ,2 ]
Xiao, Wenqiang [1 ]
Zhou, Xiaoyu [1 ]
Wu, Dongdong [3 ]
Gui, Liang [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan, Peoples R China
[2] Huazhong Univ Sci & Technol, Hubei Prov Key Lab Unmanned Underwater Vehicle & M, Wuhan, Peoples R China
[3] China Nucl Power Operat Technol Corp, Wuhan, Peoples R China
关键词
Remotely operated vehicles; Nonlinear disturbance observer; Sliding mode control; Model uncertainty; Real-time experiments; K infinity function; UNDERWATER VEHICLES; TRACKING CONTROL; PID CONTROL; SYSTEMS; METHODOLOGY; DESIGN;
D O I
10.1016/j.conengprac.2024.106230
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The chattering and model uncertainty are two main challenges for the application of sliding mode control (SMC). To address these issues, a novel class infinity function-based SMC combined with disturbance observer is proposed for the control of remotely operated vehicles (ROVs). First, a novel class infinity function-based SMC is proposed, ensuring the global uniform ultimate boundedness (GUUB) of ROV without model parameters. Then, to improve performance under strong external disturbances, a disturbance observer is designed to estimate and compensate for system unknows, with a rigorous stability analysis of the controller-observer structure. At last, the proposed method is extended to operate without acceleration measurement. Simulations and experiments are conducted to verify the effectiveness of the proposed control scheme.
引用
收藏
页数:14
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