PSO-based optimal design of in-wheel permanent magnet motor

Abstract

The present work deals with the optimal design of the geometrical parameters of an in-wheel permanent magnet motor with an exterior rotor and concentrated windings. In order to achieve this end, three-particle swarm optimization (PSO) based algorithms were applied: Multi-Objective Particle Swarm Optimizer (OMOPSO), Speed-constrained Multi-Objective PSO (SMPSO) and Dual Multi-Objective PSO (DMOPSO). Firstly, the machine design is transformed to a multi-objective constrained optimization problem. Ten design variables were selected to be optimized and two objective functions were used: the machine mass minimization and its efficiency maximization. Secondly, the three PSO-based techniques were applied and the optimization results are presented and discussed.