An Improved Method for Force Ripple Compensation of PMLSM Based on An Incremental Kalman Filter
编号:89 访问权限:公开 更新:2021-06-18 18:16:33 浏览:493次 张贴报告

报告开始:2021年07月02日 14:04(Asia/Shanghai)

报告时间:1min

所在会场:[SP] Poster Session [P1] Poster Session 1 & 2

摘要
Aiming at the problem that the anti-disturbance ability of PMLSM is decreased due to force ripple, an improved method based on incremental Kalman filter is proposed to compensate force ripple. First, the state space expression of PMLSM is established, and the incremental Kalman filter is designed accordingly. Compared with the traditional Kalman filter, the calculation amount is obviously reduced with good observation performance. Second, the data of force ripple observed online is used to compensate the feedforward current. Finally, The relevant experiments including the force ripple data collection, observation and compensation and the comparison of observer calculation time are carried out. The experimental results show that the compensation results of the proposed method can effectively improve the running stability of PMLSM.
关键词
PMLSM, force ripple, incremental kalman filter,current compensation
报告人
Mingyi Wang
School of Electrical Engineering & Automation;Harbin Institute of Technology

稿件作者
Mingyi Wang School of Electrical Engineering & Automation;Harbin Institute of Technology
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重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
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