Advanced online parameter identification-based PWM predictive control for AC servo systems

Jiang Long, Ming Yang, Xiao Yu Lang, Xin Lv, Xiao Sheng Liu, Dian Guo Xu

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

8 Citations (Scopus)

Abstract

A novel online inductance and flux identification method for AC servo motor based on PWM predictive current control is proposed in this paper. The influences of inductance and flux inconsistency on d,q current responses are theoretically deduced, by achieving the d axis feedback current as zero after the successful identification of real motor inductance according to d axis current error during the steady state. The complexity of q axis current formula can be decreased and makes the flux identification possible according to q axis current error. The proposed method is quite convenient to be realized in servo systems and the dynamic performance of predictive current control is greatly enhanced. Effectiveness of the proposed methods is verified through simulation and experiment on a 750W PMSM servo system.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages2672-2677
Number of pages6
ISBN (Electronic)9781509034741
DOIs
Publication statusPublished - 21 Dec 2016
Externally publishedYes
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 24 Oct 201627 Oct 2016

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference42nd Conference of the Industrial Electronics Society, IECON 2016
Country/TerritoryItaly
CityFlorence
Period24/10/1627/10/16

Keywords

  • Online parameter identification
  • PWM modulation
  • Parameter inconsistency
  • Predictive current control
  • Servo systems

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