Torque Ripple Minimization Of Switched Reluctance Machine Using Genetic Algorithm

Abstract:- A major problem of Switched Reluctance Motors (SRM) is the Torque ripple, which causes undesirable acoustic noise and vibration. It is caused by saliency of the stator and rotor. In this paper, a novel method on the basis of Genetic Algorithm (GA) is proposed to reduce the torque dip, thereby reducing the associated torque ripple, with simultaneous increase in Torque using GA and the obtained result is compared with a standard 6/4 pole, 3 phase SRM. The optimization results are encouraging and co-verified using Finite Element Analysis (FEA)