Permanent Magnet Synchronous Motors Parameters Identification Based on Cauchy Mutation Particle Swarm Optimization
Fu Xiaoli1, 2, Gu Hongbing2, 3, Chen Guocheng2, 3, Zou Junzhong1, Zhang Jian1
1. East China University of Science and Technology Shanghai 200237 China; 2. Jiangsu Star Industry Technology Co. Ltd Changzhou 213022 China; 3. Shanghai University Shanghai 200072 China
Abstract：The variation of permanent magnet synchronous motor(PMSM) parameters has an effect on the performance of vector control servo system, so they must to be identified at real time. The stator is equaled to 1st order inertia system and the mathematical model is built under d-q coordinates. A particle swarm optimization(PSO) based on mean best position and Cauchy mutation combined search is proposed and used to identify the resister, inductor and flux linkage of the stator. Both the simulation and the experiment examples demonstrate that the proposed algorithm has powerful optimizing ability, good stability and higher optimizing precision and good performance.
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2014, Vol. 29 
