Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances |
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| Authors: | Qixin Lei Jinpeng Yu Qing-guo Wang |
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| Institution: | 1. School of Automation, Qingdao University, China;2. Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China;1. School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, PR China;2. Center for Control and Engineering Computation, Shandong Normal University, Jinan 250014, PR China;3. School of Mathematics and Computer Science, Yunnan Minzu University, Kunming 650500, PR China;4. Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada;5. School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia;1. College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China;2. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China;3. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China;1. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, PR China;2. School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, PR China;1. School of Automation, Qingdao University, Qingdao 266071, PR China;2. Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao 266071, PR China;1. School of Aerospace Science and Technology, Xidian University, Xi''an 710071, PR China;2. College of Science, Guilin University of Technology, Guilin 541004, PR China;3. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China;4. Tencent Holdings Limited, Beijing 100080, PR China |
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| Abstract: | In this paper, a command filtered fault-tolerant control (CFFTC) approach is investigated for induction motors (IMs) discrete-time system in the presence of actuator faults and unknown load disturbances. Firstly, the IMs system discrete-time model is obtained by Euler method. Then, the fuzzy logic systems (FLSs) is utilized to compensate for unknown actuator faults. Besides, introducing the error compensation mechanism into discrete-time systems via command filters, “complexity of computation” and noncausal problem can be conquered, and the filtering error is avoided concurrently. Finally, simulation results demonstrate the validity of the presented fault-tolerant method for IMs system. |
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