Real-time on-line parameter estimation of linear switched reluctance motor

Chow Norbert Cheung, J. F. Pan, Jin Quan Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


The on-line least-square identification method is applied for the linear switched reluctance motor (LSRM) based closed-loop control system. Since switched reluctance motors have severe nonlinear characteristics, on-line system identification for model parameters is the basis for precise modeling and effective control algorithms. By on-line parameter identification of LSRM with least-square scheme, the parameter characteristics can be predicted despite of operation variations. The experimental results demonstrate the identification scheme has fast response and converging speed and the capability of effective parameter prediction under different conditions.
Original languageEnglish
Title of host publication19th International Conference on Electrical Machines, ICEM 2010
Publication statusPublished - 6 Dec 2010
Event19th International Conference on Electrical Machines, ICEM 2010 - Rome, Italy
Duration: 6 Sep 20108 Sep 2010


Conference19th International Conference on Electrical Machines, ICEM 2010


  • dSPACE 1104
  • Least-square
  • LSRM
  • On-line identification
  • Parameter convergence
  • PD controller
  • Switched reluctance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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