Fuzzy PID control for the linear switched reluctance machine

Author

Pan, J.F. ; Meng, F.J. ; Wanlai Jiang ; Cheung, Norbert C.

Author_Institution

Shenzhen Key Lab. of Electromagn. Control, Shenzhen Univ., Shenzhen, China

fYear

2013

fDate

11-13 Dec. 2013

Firstpage

1

Lastpage

4

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.

Keywords

finite element analysis; fuzzy control; reluctance motors; three-term control; FEM environment Maxwell; LSRM drive system; cosimulation environment; faster rising time; finite element method environment Maxwell; fuzzy PID control; fuzzy proportional integral differential controller; linear switched reluctance machine; simplorer; smaller overshoot; Control systems; Educational institutions; Fuzzy control; Mathematical model; Niobium; Stators; Switched reluctance motors; PID; fuzzy controller; switched reluctance motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Systems and Applications (PESA), 2013 5th International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4799-3276-4

Type

conf

DOI

10.1109/PESA.2013.6828216

Filename

6828216