| 2019 The 5th International Conference on Electrical Engineering, Control and Robotics | |
| Research on Position Sensorless Control of PMSM Based on Improved SMO | |
| 无线电电子学;计算机科学 | |
| Guoqing, Zhang^1^2^3 ; Xinhong, Xiong^3 ; Yousheng, Zheng^3 ; Yanhui, Zhang^1^2 ; Lianbo, Chen^1^2^3 ; Xinyu, Wu^1^2 ; Wei, Feng^1^2 | |
| Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen | |
| 518055, China^1 | |
| CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems, Shenzhen Institutes of Advanced Technology, Shenzhen | |
| 518055, China^2 | |
| School of Logistics Engineering, Wuhan University of Technology, Wuhan | |
| 430070, China^3 | |
| 关键词: Convergence rates; Hyperbolic tangent function; Permanent Magnet Synchronous Motor; Phase compensation; Position sensorless control; Sliding mode observers; Speed observations; Strong correlation; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/533/1/012019/pdf DOI : 10.1088/1757-899X/533/1/012019 |
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| 学科分类:计算机科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
The sliding mode observer (SMO) can effectively achieve the permanent magnet synchronous motor (PMSM) to perform position sensorless control, but there are still drawbacks of system chattering and high complexity. In this paper, an improved SMO is established based on hyperbolic tangent function and Kalman filter. The system chattering is effectively suppressed, and the accuracy of position and speed observation error is significantly improved without phase compensation. It is found that the convergence rate of the hyperbolic tangent function has a strong correlation with the system chattering degree and the speed observation error. When a is between 3 and 4, the speed error accuracy of the improved SMO is the optimum situation.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Research on Position Sensorless Control of PMSM Based on Improved SMO | 962KB |
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