Multiobjective differential evolution-based performance optimization for switched reluctance motor drives

Authors : Hédi YAHIA, Noureddine LIOUANE, Rachid DHIFAOUI

Pages : 1061-1076

Doi:10.3906/elk-1110-53

View : 22 | Download : 7

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :The simple structure, low manufacturing cost, rugged behavior, high torque per unit volume, and wide torque-speed range make a switched reluctance motor insert ignore into journalissuearticles values(SRM); very attractive for industrial applications. However, these advantages are overshadowed by its inherent high torque ripple, acoustic noise, and difficulty to control. The controlled parameters in SRM drives can be selected as the turn-on angle, the turn-off angle, and the current reference. This paper investigates the problem of optimal control parameters considering the maximum average torque, minimum copper losses, and minimum torque ripple as the main objectives in SRM drives. The use of evolutionary algorithms insert ignore into journalissuearticles values(EAs); to solve problems with multiple objectives has attracted much attention recently. Differential evolution insert ignore into journalissuearticles values(DE); is an EA that was developed to handle optimization problems over continuous domains. A multiobjective DE insert ignore into journalissuearticles values(MODE); technique is introduced here to find the optimal firing angles under multiple operating conditions. The simulation results carried out on a 4-phase 8/6 pole SRM show that the proposed MODE can be a reliable alternative for generating optimal control in the multiobjective optimization of SRM drive systems.
Keywords : Optimal control parameters, differential evolution, multiobjective differential evolution, SRM drives, performance optimization