Fault-Tolerant Speed Control of a Biomimetic Multijoint Robotic Fish

被引:0
作者
Yang, Yueqi [1 ,2 ]
Wu, Zhengxing [1 ]
Yu, Junzhi [1 ]
机构
[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源
2018 IEEE 8TH INTERNATIONAL CONFERENCE ON UNDERWATER SYSTEM TECHNOLOGY: THEORY AND APPLICATIONS (USYS) | 2018年
基金
中国国家自然科学基金;
关键词
Fault-tolerant speed control; underwater robots; robotic fish; multi-layer perceptron;
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
Fault tolerance is critical to the real applications of underwater robots in complex underwater environments. In this paper, the fault-tolerant speed control is proposed to control the robotic fish with a stuck tail joint to reach the specified speed. Specifically, based on the yaw fault-tolerant control, we firstly analyze the coupling problem between the control parameters and design the feedback controller. In order to solve the problem that the feedback controller converges slowly, a multi-layer perceptron-based feedforward controller is proposed. Simulation experiments are designed to test the performance and effectiveness of the control system. Simulation results reveal the effectiveness of the control method.
引用
收藏
页数:6
相关论文
共 12 条
[1]  
Abbaspour R., 2010, 2010 International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2010), P443, DOI 10.1109/ICUMT.2010.5676599
[2]  
Chen K., 2016, P 2016 IEEE INT C AD, P421
[3]   A fast-starting mechanical fish that accelerates at 40 m s-2 [J].
Conte, J. ;
Modarres-Sadeghi, Y. ;
Watts, M. N. ;
Hover, F. S. ;
Triantafyllou, M. S. .
BIOINSPIRATION & BIOMIMETICS, 2010, 5 (03)
[4]   Development of a Two-Joint Robotic Fish for Real-World Exploration [J].
Liang, Jianhong ;
Wang, Tianmiao ;
Wen, Li .
JOURNAL OF FIELD ROBOTICS, 2011, 28 (01) :70-79
[5]  
Luo ZR, 2012, I C MECH MACH VIS PR, P460
[6]   Organization of mammalian locomotor rhythm and pattern generation [J].
McCrea, Dauid A. ;
Rybak, Ilya A. .
BRAIN RESEARCH REVIEWS, 2008, 57 (01) :134-146
[7]  
Yu J. G., 2003, THESIS
[8]   CPG Network Optimization for a Biomimetic Robotic Fish via PSO [J].
Yu, Junzhi ;
Wu, Zhengxing ;
Wang, Ming ;
Tan, Min .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (09) :1962-1968
[9]   Data-Driven Dynamic Modeling for a Swimming Robotic Fish [J].
Yu, Junzhi ;
Yuan, Jun ;
Wu, Zhengxing ;
Tan, Min .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (09) :5632-5640
[10]  
Yuan-Tao H. E., 2008, J SUZHOU U