OPTIMIZATION DESIGN OF POLE SHAPE OF SRM BY USING INTELLIGENT SIMULATED ANNEALING ALGORITHM
OPTIMIZATION DESIGN OF POLE SHAPE OF SRM BY USING INTELLIGENT SIMULATED ANNEALING ALGORITHM
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发表时间：
2003
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通讯作者：
Bai Feng-xian
中科院分区：
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作者：
Bai Feng-xian
研究了开关磁阻电动机（SRM）的电磁场逆问题。首先，对模拟退火算法进行了深入的研究，发现模拟退火算法在很大程度上存在盲目性。其次，将模糊推理与基本模拟退火算法相结合，提出了一种新的全局优化算法--智能模拟退火算法，该算法具有在代价函数计算之前剔除不可行解的能力，大大缩小了搜索范围，提高了收敛速度。最后，将智能模拟退火算法应用于开关磁阻电机电磁场逆问题，通过优化转子极型，显著提高了样机的静态转矩。
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 .