Fuzzy PID control for the linear switched reluctance machine

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

doi:10.1109/PESA.2013.6828216

Fuzzy PID control for the linear switched reluctance machine

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013
Publisher	IEEE Computer Society
ISBN (Print)	9781479932764
DOIs	https://doi.org/10.1109/PESA.2013.6828216
Publication status	Published - 1 Jan 2013
Event	2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013 - Hong Kong, Hong Kong Duration: 11 Dec 2013 → 13 Dec 2013

Conference

Conference	2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013
Country/Territory	Hong Kong
City	Hong Kong
Period	11/12/13 → 13/12/13

Keywords

fuzzy controller
PID
switched reluctance motor

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

More information

10.1109/PESA.2013.6828216

Cite this

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title = "Fuzzy PID control for the linear switched reluctance machine",

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.",

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Pan, JF, Meng, FJ, Jiang, W & Cheung, CN 2013, Fuzzy PID control for the linear switched reluctance machine. in 2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013., 6828216, IEEE Computer Society, 2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013, Hong Kong, Hong Kong, 11/12/13. https://doi.org/10.1109/PESA.2013.6828216

Fuzzy PID control for the linear switched reluctance machine. / Pan, J. F.; Meng, F. J.; Jiang, Wanlai et al.
2013 5th International Conference on Power Electronics Systems and Applications, PESA 2013. IEEE Computer Society, 2013. 6828216.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Cheung, Chow Norbert

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N2 - 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.

AB - 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.

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ER -

Fuzzy PID control for the linear switched reluctance machine

Abstract

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Keywords

ASJC Scopus subject areas

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