Speed Feedforward Control Method Based on Improved Adaptive Filter for Permanent Magnet Synchronous Motor

Yiyan Wang, Zhao Xue, Xiaoli Duan, Yilun Liu, Guangzhao Luo

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

2 Scopus citations

Abstract

An adaptive filter is used as the speed loop controller for permanent magnet synchronous motor (PMSM) drive system to improve the dynamic and anti-disturbance performance. The weightings of the filter are adjusted by the normalized least mean square (NLMS) filtering algorithm, so that the transfer function of the controller is equivalent to the inverse model of the controlled plant in the system. At the same time, the weightings of the filter are transferred to the speed feedforward controller in time, which makes the transfer function can approximate to the inverse model of the controlled plant. Then, the feedforward control and speed tracking are realized. In addition, a second-order extended state observer (ESO) is designed to estimate and compensate the total disturbances of the system. Simulation results verify the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
StatePublished - Aug 2019
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • adaptive filter
  • extended state observer
  • feedforward control
  • normalized least mean square filtering algorithm
  • PMSM

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