Position Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer
文献类型：会议论文
| 作者 | Zhang T(张涛)1,2,3,4 ; Xiong Yingjie5; Wang, Bolun3; Yan HY(闫红雨)6; Chen XY(陈希有)2
|
| 出版日期 | 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 |
| 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.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.School of Electrical Engineering, Dalian University of Technology, Dalian, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 5.College Of Information Science and Engineering, Northeastern University, Shenyang, China 6.School of Artificial Intelligence, Shenyang University of Technology, 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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