Fuzzy logic control of a switch reluctance motor

FUZZY LOGIC CONTROL OF A SWITCHED RELUCTANCE MOTOR
M..G.Rodrigues* W. I. Suemitsu* P.Branco** J.A.Dente** L.G.B.Rolim***
"COPPEKJFRJ-Federal University of Rio de Janeiro p.o.box.60504 Rio de Janeiro RJ Brazil Fax: [phone] e-mail:[e-mail]

**Institute Superior Tecnico CAUTLLaboratorio de Mecatranica (http://macdente. ist.utl.pit) AV.Rovisco Pais, 1096 Lisboa Codex, Portugal E-mail:[e-mail]

* **DEE/EE-UFRJ . PO Box 68515,21945-930 Rio de Janeiro, B r a d Fax: [phone] e-mail: [e-mail]
Abstract This paper presents the use of fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. The FLC performs a PI-like control strategy, giving the current reference variation based on speed error and its change. The performance of the drive system was evaluated through digital simulations through the toolbox Simulink of Matlab program.

1. INTRODUCTION
The switched reluctance motor (SRM) has becoming an attractive alternative in variable speed drives, due to its advantages such as structural simplicity, high reliability and low cost [1,2]. Many papers have been written about SRM concerning design and control [3]. An important characteristic of the SRM is that the inductance of the magnetic circuit is a nonlinear function of the phase current and rotor position. So, for the control and optimization of this drive, a precise magnetic model is necessary. To obtain this model is not an easy task, because the magnetic circuit operates at varying levels of saturation under operating conditions [4]. Further, the nonlinear characteristic of this plant represents a challenge to classical control. To overcome this drawback, some alternatives have been suggested in [ 5 ] , using fuzzy and neuronal systems.

In this paper we present a study by simulation of the use of a FLC for SR drive. The SRM simulated has a structure of six poles on the stator and four on the rotor, and power of 1 H p . The nonlinear model of t h