The Minimization of Torque Ripples of Segmental Type Switched Reluctance Motor by Particle Swarm Optimization

Autor: TERZİOĞLU, Hakan, HERDEM, Saadetdin, BAL, Güngör
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Intelligent Systems and Applications in Engineering; 2016: Special Issue; 199-203
Volume: 4, Issue: Special Issue-1 199-203
International Journal of Intelligent Systems and Applications in Engineering
ISSN: 2147-6799
DOI: 10.18201/ijisae.2017specialissue-146974
Popis: In this study, we realized a controller design which can reduce torque ripple of 10/8 Switched Reluctance Motor (SRM). To perform the study, a Switched Reluctance Motor with 5 phase, U type segmental rotor was used. The control of the SRM was actualized by bipolar converter used H-bridge topology. The control signals of converter are obtained by control circuit designed by using dsPIC33EP512MU810. One of the reasons of the current ripples in the SRM is ON-OFF times in a period of the control signals. When the ripples of the current reduced, the ripples of torque of the SRM also reduced. Therefore, in this study, the ON-OFF times in a period of phase control signals were determined by an algorithm used particle swarm optimization. When SRM was controlled by this algorithm developed, the decreasing of its torque ripples was determined.
Databáze: OpenAIRE