| 一种卡尔曼滤波器的永磁同步电机无速度传感器 |
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| 引用本文： | 张海刚,张磊,王步来,叶银忠,万衡,徐兵.一种卡尔曼滤波器的永磁同步电机无速度传感器[J].航空动力学报,2017,44(7):20-25. |
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| 作者姓名： | 张海刚 张磊 王步来 叶银忠 万衡 徐兵 |
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| 作者单位： | 上海应用技术大学 轨道交通学院,上海201418,上海应用技术大学 轨道交通学院,上海201418,上海应用技术大学 轨道交通学院,上海201418,上海应用技术大学 轨道交通学院,上海201418,上海应用技术大学 轨道交通学院,上海201418,上海应用技术大学 轨道交通学院,上海201418 |
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| 基金项目： | 国家自然科学基金资助项目(61374132) |
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| 摘 要： | 针对滑模观测器的永磁同步电机参数误差容易造成估算误差和反电动势中存在高频纹波分量的缺点,使用低通滤波器不能有效消除高频纹波,提出在滑模观测器前端引入卡尔曼滤波器来消除高频纹波,使得永磁同步电机的控制系统具有更好的稳态效果和动态响应。依据设计仿真搭建MATLAB平台,对提出新方法进行验证。试验结果表明增加卡尔曼滤波环节后的滑模观测器不仅鲁棒性强,而且在一定程度上有效抑制了抖振,在系统快速性及稳态性能上都有较好的效果。
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| 关 键 词： | 卡尔曼滤波器 无速度传感器 永磁同步电机 滑模观测器 |
Sensorless Control Method of Permanent Magnet SynchronousMotor Based on Kalman Filter |
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| ZHANG Haigang,ZHANG Lei,WANG Bulai,YE Yinzhong,WAN Heng and XU Bing.Sensorless Control Method of Permanent Magnet SynchronousMotor Based on Kalman Filter[J].Journal of Aerospace Power,2017,44(7):20-25. |
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| Authors: | ZHANG Haigang ZHANG Lei WANG Bulai YE Yinzhong WAN Heng and XU Bing |
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| Institution: | School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China,School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China,School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China,School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China,School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China and School of Railway Transportation, Shanghai Institute of Technology, Shanghai 201418, China |
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| Abstract: | Aimed at problems of high frequency ripple component exists permanent magnet synchronous motor (PMSM) parameter error caused by the sliding mode observer estimation error and counter electromotive force. However, a lowpass filter cannot eliminate the high frequency ripple, Therefore, the introduction of the Kalman filter to eliminate highfrequency ripple, making permanent magnet synchronous motor control system had better steady state performance and dynamic response. Then a MATLAB platform was built to validate this method, the experimental results showed that after the increase in the Kalman filter sliding mode observer not only robust, and to some extent inhibited the buffeting, there was some increase in the rapid and dynamic performance. |
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| Keywords: | Kalman filter sensorless permanent magnet synchronous motor (PMSM) sliding mode observer (SMO) |
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