Abstract
Multiobjective particle swarm optimization (MOPSO) is applied to optimize six structural parameters of a 27-slot/30-pole permanent magnet synchronous machine (PMSM) with external rotor, including slot opening, magnet height, stator outer radius, thickness of rotor yoke, width of tooth, and stack length. Three conflicting objectives, namely torque, torque ripple, and volume, are improved simultaneously after applying MOPSO. MOPSO is combined with Kriging surrogate model (KSM) of torque and torque ripple, which reduces number of times to use time-consuming finite element analysis (FEA) in the process of machine optimization. KSMs are established based on samples obtained by FEA, which reflects relations between various structural parameters of machine and torque and torque ripple.
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