Methodology for Cage Shape Optimization of a Permanent Magnet Synchronous Motor Under Line Start Conditions

This paper proposes a methodology for shape optimization of the starting cage of a line start permanent magnet synchronous motor motor with the aim to improve its synchronization performance. The parameters of the machine are established from a field-circuit model, where the magnetic field is simulated using a finite element method (FEM). A strategy for evaluating machine parameters exploiting parallel computing is proposed. To facilitate the use of FEM package, bespoke procedures have been developed and model parameterization applied with the aid of the scripting language Visual Basic. A particle swarm algorithm has been adapted for design optimization purposes. The proposed strategy has been verified via test simulations.