Tuned Fuzzy Logic Control of Switched Reluctance Motor Drives

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)

Abstract

The switched reluctance motor (SRM) has gained much attention in the past few years over other types of electric motors in the drive applications due to its simple structure, ruggedness and inexpensive manufacturing potential. However, these merits are overshadowed by its inherent high torque ripple, acoustic noise and difficulty to control. When the exact analytical model of the controlled system is uncertain or difficult to be characterized, intelligent control arts such as fuzzy logic control (FLC) may allow better performance compared to conventional controllers. In this paper a PI-like fuzzy logic speed controller with output scaling factor tuned, by an updating factor, based on fuzzy logic reasoning, is applied to an SRM drive system. A reduced rule base is used to simplify the program complexity of the controller without losing the system performance and stability. The nonlinear modeling of SRM is done based on look up tables with data obtained by finite element analysis.

Keywords

Fuzzy logic controller Scaling factor Switched reluctance motor 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of EEECollege of EngineeringTrivandrumIndia

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