Abstract
A new fuzzy hybrid particle swarm optimization algorithm (FHPSO) is presented in the paper for parameter identification of permanent magnet synchronous motor (PMSM).The FHPSO algorithm uses hybrid optimal model which is obtained by the combination of global optimal model and local optimal model.And for the disadvantages of basic particle swarm optimization (BPSO) and fuzzy particle swarm optimization (FPSO) algorithm proposed by former researchers,a new fuzzy control method for inertia weight is presented.The results of comparison between BPSO,FPSO and FHPSO algorithms show that the FHPSO algorithm has better capacity than other 2 algorithms.In addition,the results of parameter identification indicate that the algorithm has good performances on different noise levels. Therefore,the FHPSO algorithm is viable for parameter identification of PMSM.
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