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Force Ripple Suppression of Permanent Magnet Linear Synchronous Motor Based on Fuzzy Adaptive Kalman Filter

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the problem that the noise covariance matrix is difficult to get when using the Kalman filter to observe the force, a force ripple suppression strategy of permanent magnet linear synchronous motor based on fuzzy adaptive Kalman filter is proposed. According to the fuzzy control theory, this method takes the error of the q-axis current and rate of the error as fuzzy controller inputs, and takes the parameter in the covariance matrix of the measurement noise as fuzzy controller output, which reduces the burden of parameter tuning and improve disturbance rejection performance. The experimental results show that compared with the Kalman filter with fixed parameters, the method proposed in this paper has better dynamic performance.

Original languageEnglish
Title of host publication2021 13th International Symposium on Linear Drives for Industry Applications, LDIA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172101
DOIs
StatePublished - 2021
Externally publishedYes
Event13th International Symposium on Linear Drives for Industry Applications, LDIA 2021 - Wuhan, China
Duration: 1 Jul 20213 Jul 2021

Publication series

Name2021 13th International Symposium on Linear Drives for Industry Applications, LDIA 2021

Conference

Conference13th International Symposium on Linear Drives for Industry Applications, LDIA 2021
Country/TerritoryChina
CityWuhan
Period1/07/213/07/21

Keywords

  • Fuzzy controller
  • Kalman filter
  • Permanent magnet linear synchronous motor

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