Multi-Objective Optimal Design of a NEMA Design D Three-phase Induction Machine Utilizing Gaussian-MOPSO Algorithm

• DOI: 10.5370/jeet.2014.9.1.184
• Publication Date: 2014-01-21T01:33:25Z
• Authors: Dianhai Zhang; Ziyan Ren; Chang-Seop Koh
• Keywords: Latin Hypercube Sampling; Optimal design; Squirrel-cage rotor

This paper presents a multi-objective optimization approach to design rotor slot geometry of three-phase squirrel cage induction machine to achieve NEMA design D torque-speed (T-S) characteristics with high efficiency. The multi-objective Particle Swarm Optimization (MOPSO) algorithm combined with the adaptive response surface method and Latin hypercube sampling strategy is applied to obtain the Pareto optimal designs. In order to demonstrate the validity of the suggested optimal algorithm, an application to rotor slot design of three-phase induction motor is presented.