Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer

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	Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer
	Zhang T(张涛)3,4,5,6; Xiong Yingjie 1; Wang, Bolun 4; Yan HY(闫红雨)2; Chen XY(陈希有)3
	2021
会议日期	October 22-24, 2021
会议地点	Beijing, China
关键词	Adaptive gain piecewise function PMSM SMO
页码	2767-2771
英文摘要	Permanent magnet synchronous motors(PMSM) are popular in AC motor applications due to their small size, high efficiency. They have appeared widely in various areas of life. Due to the high-frequency chattering problem caused by sliding mode observer sensorless control of PMSM, an SMO with piecewise control function is designed in this paper.At the same time, based on the back EMF output of the SMO, the gain of the SMO is adapted to reduce the system bucket vibration problem caused by the conventional SMO. Finally, a simulation experiment was carried out in MATLAB/SIMULINK and compared with the conventional SMO. The results show that the improved SMO has achieved a better control effect.
产权排序	1
会议录	Proceeding - 2021 China Automation Congress, CAC 2021
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-6654-2647-3
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/30798]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Zhang T(张涛)
作者单位	1.College Of Information Science and Engineering, Northeastern University, Shenyang, China 2.School of Artificial Intelligence, Shenyang University of Technology, Shenyang, China 3.School of Electrical Engineering, Dalian University of Technology, Dalian, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 6.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China
推荐引用方式 GB/T 7714	Zhang T,Xiong Yingjie,Wang, Bolun,et al. Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer[C]. 见:. Beijing, China. October 22-24, 2021.