eprintid: 2054
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/20/54
datestamp: 2023-11-09 15:50:13
lastmod: 2023-11-09 15:50:13
status_changed: 2023-11-09 15:41:55
type: article
metadata_visibility: show
creators_name: Cobbi, R.
creators_name: Sahoo, N.C.
title: A fuzzy iterative modulation algorithm for torque ripple minimization in switched reluctance motors
ispublished: pub
keywords: Excitation schemes; Iterative approach; Modulation algorithm; Nonlinear characteristics; Phase currents; Reference currents; Simulation studies; Switched Reluctance Motor; Torque ripple; Torque ripple minimization; Torque ripples; Torque sharing function, Fuzzy logic; Torque, Reluctance motors
note: cited By 0
abstract: The study of switched reluctance motors (SRMs) has always been linked to its torque ripple issues. Many techniques have been introduced to minimize the torque ripple by determination of appropriate reference current profile so as to produce the desired torque as closely as possible. However, nonlinear characteristics of SRM have not made these techniques fully successful. In this paper, a new method is introduced for determination of reference current profile for torque ripple minimization. The method deals with an iterative approach for the modulation of the reference current by means of a multiplying factor. The multiplying factor is computed based on fuzzy logic which is well known to compensate for the nonlinearities of the system. Three different excitation schemes are studied in this work, i.e., one-phase-on scheme, basic two-phase-on scheme and two-phase-on scheme with torque sharing functions. For each schemes, both positive and negative torque generating phase currents are utilized simultaneously. The performance of the proposed method is verified by simulation studies. © 2011 CRL Publishing Ltd.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856200595&partnerID=40&md5=b5fd4e5a23b0a453e9674533ede3cd7e
full_text_status: none
publication: Engineering Intelligent Systems
volume: 19
number: 2
pagerange: 77-92
refereed: TRUE
issn: 14728915
citation:   Cobbi, R. and Sahoo, N.C.  (2011) A fuzzy iterative modulation algorithm for torque ripple minimization in switched reluctance motors.  Engineering Intelligent Systems, 19 (2).  pp. 77-92.  ISSN 14728915