Obtaining optimized designs of multi-phase PMa-SynRM using lumped parameter model based optimizer

Abstract

This paper focuses on multi-objective optimization of multi-phase Permanent Magnet Assisted Synchronous Reluctance Motor (PMa-SynRM) using Lumped Parameter Model based Optimizer (LPO). Optimized PMa-SynRM are cost efficient compared to Interior Permanent Magnet Motor (IPM). Five-phase PMa-SynRMs offer lower torque ripple and higher fault tolerant capability. Depending on various industry application and their application environment, PMa-SynRMs should be customized with appropriate design specification including different current rating, torque ripple, converter cost, magnet cost and overall machine cost. The developed LPO can efficiently extract optimized multi-phase PMa-SynRM models from different design families through defined Objective Functions (OFs). To prove the accuracy of developed LPO for different OFs, four PMa-SynRM models have been obtained while minimizing torque ripple, phase current, machine cost, and magnet costs respectively. Finally, Finite Element Analysis (FEA) of these models has been performed to validate accuracy of the LPO by comparing predicted performances through LPO and FEA.