Design optimization of consequent-pole PMSM by ON/OFF method and multi-objective evolutionary algorithms

Abstract

Consequent-pole permanent magnet synchronous machines (CP-PMSMs) have attracted considerable interest because they can save considerable permanent magnets and provide acceptable torque performance. The aim of this paper is to discover the full design space potential of the CP-PMSM by optimizing the topology of iron poles. ON/OFF method is used to manage the design region, finding the trade-off relationship between the average torque and torque ripple is the optimization targets. To this end, the topology of iron poles will be optimized by redistributing the iron and air material over the design region. A set of Delaunay mesh-based evolutionary operators is proposed and formulated to apply multi-objective evolutionary algorithms (MOEAs) to the formulated problem. The resulting topologies and convergence of two MOEAs are presented, and the optimization results are discussed.