Cogging Torque Reduction of Permanent Magnet Motor Based on Particle Swarm Optimization Algorithm

Abstract The permanent magnet motor will inevitably produce cogging torque because of its inherent structure, which cause vibration and noise affect application in certain high-precision applications. Firstly, considering the actual structure stator, a general analytical model is obtained by energy-based approaches. On basis further derivation expressions with different segmented pole structures, combination reduction method presented based on particle swarm optimization algorithm, comprehensively optimizing three combinations opening width stator slot, calculating arc coefficient number PM segments, can reduce “peak-to-peak value” torque. finite element analysis (FEA) results prove validity proposed method.