OPTIMIZATION DESIGN OF POLE SHAPE OF SRM BY USING INTELLIGENT SIMULATED ANNEALING ALGORITHM

This paper focuses on the inverse electromagne-tic field problem of switched reluctance motor (SRM). Firstly, Simulated annealing algorithm is thoroughly studied and it is found that there exists blindness to a great extent in the simulated annealing. Secondly, a novel global optimization method, intelligent simulated annealing algorithm, is proposed by assembling fuzzy inference into basic simulated annealing, which has the ability to reject infeasible solution prior to cost function computation, and by which the searching area is greatly reduced and the convergence speed is improved considerably. Finally, the intelligent simulated annealing algorithm is applied to the inverse electromagnetic field problem of SRM, and the static torques of a prototype motor is remarkably increased by optimizing the pole shape of the rotor .