最小－最大优胜原理在三相感应电机优化设计中的应用

罚函数应用于电机优化设计中总存在一些问题，本文提出了一种迅速有效的电机优化方法──最小－最大优胜原理求解电机双目标优化法。从而解决了罚函数法中不同电机规格须用不同罚因子的问题。为获得全局或接近全局极优值，采用在离散变量值大的变量周围，用适应性随机法产生各设计变量的增量，并引入模式搜索进一步寻优，使探测点大部分在好点附近，提高了寻优的目的性和寻优效率，所开发的软件，收到了预期效果。经对Ｙ系列电动机的验算，证实了理论分析的正确性。该软件已为几家电机制造厂采用，均收到明显效果。

The Application of Minimum-Maximum Winning Principle to Optimum Design of 3-Phase Induction Motors

This peper indicates a rapid and effective method-Maximum-Minimum Winning Principle Method to optimize 3-phase induction motor. The use of this method can surmount the disadvantage of penalty function method which must use different penalty factors in the motor optimum design of different size. In order to achieve global optimum value, the author use the fitting random method to search optimum value in the region where the dispersion variable is large. By analyzed feasible region, the main variable which is most significantly constraint to the main object and performance can be found, therefore, high optimum searching efficiency can be realized and the aimless searching can be avoided. The developed software based on the method mentioned above has been adopted in several factories. The experiment resultS for the series of induction motor show excellent agreement with the theoretical analysis and the anticipating effects have been obtained. The significant economical benefits are achieved in those factories.