Fuzzy super-spiral sliding mode observer for permanent magnet synchronous motor considering sliding mode buffeting

被引：0
|
作者：
Tao C. [1 ,2 ]
Zhao K. [1 ]
Niu Q. [3 ]
机构：
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
[2] Key Laboratory of Optoelectronic Technology and Intelligent Control, Ministry of Education, Lanzhou Jiaotong University, Lanzhou
[3] School of Electrical Engineering, Henan Polytechnic University, Jiaozuo
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 23期
关键词：
Fuzzy controller; Fuzzy super-spiral observer; Permanent magnet synchronous motor; Sliding mode structure; Super-spiral control algorithm;
D O I：
10.19783/j.cnki.pspc.181583
中图分类号：
学科分类号：
摘要：
Contraposing the buffeting problem of traditional sliding mode observer in permanent magnet synchronous motor control system when estimating the rotational speed and rotor position, a super-spiral sliding mode observer based on fuzzy rules is proposed. The observer adopts series high-order sliding mode to ensure the continuity of the output, and weakens the buffeting begeted by high-frequency switching in sliding mode control. The introduction of fuzzy rules solves the problem that the upper bound of the boundary function in the super-spiral control algorithm is difficult to obtain in practice, and then the proof is used to verify the convergence of the proposed fuzzy super-spiral sliding mode control rate. Finally, the model is built in Matlab. The laboratory results demonstrate that the designed control scheme reduces the system chattering while satisfying the control accuracy. © 2019, Power System Protection and Control Press. All right reserved.
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页码：11 / 18
页数：7
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