Please use this identifier to cite or link to this item:
Title: A Fuzzy Logic Based Current Modulator for Torque Ripple Minimization in Switched Reluctance Motors
Authors: Sahoo, N.C.
Panda, S.K. 
Dash, P.K. 
Issue Date: Feb-1999
Citation: Sahoo, N.C.,Panda, S.K.,Dash, P.K. (1999-02). A Fuzzy Logic Based Current Modulator for Torque Ripple Minimization in Switched Reluctance Motors. Electric Machines and Power Systems 27 (2) : 181-194. ScholarBank@NUS Repository.
Abstract: This paper addresses a fundamental control issue in switched reluctance motor (SRM) drives - the torque ripples. Conventionally, the amplitude of the rectangular reference current pulse, on-angle, and off-angle for the various phases of the SRM for a given torque demand are obtained from a stored look-up table that makes use of measured torque-current-position characteristics. However, the electromagnetic torque, thus obtained, contains significant ripples. A number of techniques for the generation of reference current profiles that minimize the torque ripples have also been suggested in the past. But due to highly nonlinear characteristics of the SRM, all these schemes are not fully successful. Moreover, their performance depends greatly on the accuracy of the magnetic characteristics measurements of the motor on which most of these algorithms work. Our work is primarily motivated to modulate the reference phase current pattern with the aid of fuzzy logic which is well suited to compensate for the nonlinearities of the system, so that the torque ripples are further suppressed. Performance of the proposed strategy is verified by computer simulation.
Source Title: Electric Machines and Power Systems
ISSN: 0731356X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Aug 29, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.