GA Based Pole Shape Optimization for Sound Noise Reduction in Switched Reluctance Motors

In this paper an optimized pole shape is presented to reduce acoustic noise of switched reluctance motor (SRM). The optimization is based on the genetic algorithm and by considering both radial force and torque ripple reduction. A two-dimensional (2-D) finite element (FE) analysis is carried out to simulate the 6/4 SRM for each solution of the population generated by GA. To decrease the acoustic noise in SRM, arcs on the rotor and stator teeth are designed in three steps including: rotor with arcuate teeth, stator with arcuate teeth, and both stator and rotor with arcuate teeth. In the case of the stator with arcuate teeth, torque ripple and radial force decrease in comparison with the base motor while the average torque for this model is the same as the base motor. In the case of the rotor with arcuate teeth, torque ripple increases and radial force decreases. However, the radial force and torque ripple might be varied in the same or opposite direction. The best solution produced by the GA has been implemented on a real motor. Experimental results on a real motor demonstrate the validity of our proposed GA based optimized pole shape.