Adaptive on-line parameters identification of nonlinear behavior in vector-controlled permanent magnet synchronous motors

Chia Min Ting, Hsin Hung Chou, Stone Cheng

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

3 Scopus citations

Abstract

This paper addresses the problem of nonlinear dynamic of system parameters to specify the design of adaptive parameters identification algorithm with respect to a globally converged feedback control of permanent magnet synchronous motor drives. In this paper, synchronization of separated physical and analytical system of similar dynamic structures is proposed for solving online parameter estimation for nonlinear permanent magnet synchronous motors (PMSM) models. The Lyapunov function analysis is used to assure the convergence of the proposed system performance. Simulations are presented and discussed to validate the proposed identification method. The results demonstrate that the proposed method can achieve more accurate parameter identification.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1384-1389
Number of pages6
ISBN (Electronic)9781509067572
DOIs
StatePublished - 23 Aug 2017
Event14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
Duration: 6 Aug 20179 Aug 2017

Publication series

Name2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017

Conference

Conference14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
CountryJapan
CityTakamatsu
Period6/08/179/08/17

Keywords

  • Adaptive identification
  • Permanent magnet synchronous motors (PMSM)
  • Stability

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