H state estimation of permanent magnet linear synchronous motors using a linear matrix inequality approach

Yuan Rui Chen, Jie Wu, Chow Norbert Cheung, Jianfei Pan

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

1 Citation (Scopus)

Abstract

This paper presents a novel state estimation method on permanent magnet linear synchronous motors (PMLSMs) through the H∞ filtering viewpoint. The dynamic characteristic of the PMLSM is analyzed and the discrete state equation model for the PMLSM is developed. To give the velocity and position estimation of the linear motor, an H∞ filtering problem which allows certain presence of uncertainties is constructed. The uncertainties include parameter variations, noises and unmodeled dynamics. Afterwards the H∞ filtering problem is solved using a linear matrix inequality (LMI) approach. The simulation results show that the proposed method is able to predict the motor velocity and position with minimum error.
Original languageEnglish
Title of host publication5th International Conference on Power Electronics and Drive Systems, PEDS 2003 - Proceedings
PublisherIEEE
Pages275-278
Number of pages4
Volume1
ISBN (Electronic)0780378857
DOIs
Publication statusPublished - 1 Jan 2003
Event5th International Conference on Power Electronics and Drive Systems, PEDS 2003 - Novotel Apollo Hotel, Singapore, Singapore
Duration: 17 Nov 200320 Nov 2003

Conference

Conference5th International Conference on Power Electronics and Drive Systems, PEDS 2003
Country/TerritorySingapore
CitySingapore
Period17/11/0320/11/03

Keywords

  • H filtering ∞
  • linear matrix inequality
  • permanent magnet linear synchronous motors
  • state estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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