Fuzzy PID control for the linear switched reluctance machine

J. F. Pan, F. J. Meng, Wanlai Jiang, Chow Norbert Cheung

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

6 Citations (Scopus)

Abstract

This paper investigates the fuzzy control method for the linear switched reluctance motor (LSRM) drive system. Modeling of the LSRM is constructed based on the finite element method (FEM) environment Maxwell and the control system is analyzed by the co-simulation environment with Simplorer. Both the performance of the fuzzy proportional integral differential (PID) controller and the traditional PID controller are compared. The simulation results prove that the fuzzy PID controller yields faster rising time and smaller overshoot, compared with the traditional PID controller.
Original languageEnglish
Title of host publication2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013
PublisherIEEE Computer Society
ISBN (Print)9781479932764
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013 - Hong Kong, Hong Kong
Duration: 11 Dec 201313 Dec 2013

Conference

Conference2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013
CountryHong Kong
CityHong Kong
Period11/12/1313/12/13

Keywords

  • fuzzy controller
  • PID
  • switched reluctance motor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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