期刊
NEUROCOMPUTING
卷 214, 期 -, 页码 201-209出版社
ELSEVIER
DOI: 10.1016/j.neucom.2016.05.088
关键词
Fuzzy approximation; Reduced-order observer; Backstepping; Permanent magnet synchronous motor
资金
- Natural Science Foundation of China [61573204, 61573203, 61501276, 61473160]
- Shandong province outstanding youth fund [ZR2015JL022]
- Shandong Postdoctoral Science Foundation [201303062]
- Qingdao Postdoctoral Application Research Project
This paper studies an adaptive fuzzy control method combined with reduced-order observer technology for the position tracking control of chaotic permanent magnet synchronous motor (PMSM) drive system. Fuzzy logic systems (FLSs) are introduced to solve the problem of nonlinear and unknown functions appeared in the PMSM drive system, reduced-order observer is used to calculate its angle speed. Meanwhile, adaptive backstepping mechanism is applied for the design procedure of controllers. The control technique developed in this paper can ensure that the tracking error falls into a small neighborhood of origin. Compared with the existing results, the proposed algorithm can solve the explosion of complexity issue and it does not require measuring the speed signal of motors and the number of adaptive parameters has been reduced to only one. Simulation results show that the chaos of PMSM can be successfully suppressed by the proposed method and the system can track the reference signals very well. (C) 2016 Elsevier B.V. All rights reserved.
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