摘要
基于改进遗传算法对高速永磁无刷直流电动机进行了优化设计,在该算法中,交叉率和变异率为进化代数和适应度的函数,把遗传算法与模式搜索法(爬山法)相结合使用形成一种混合遗传算法。通过无刷直流电动机的优化实例计算以及实验结果,证明该文对遗传算法的改进是行之有效的。
Optimization design of high-speed permanent brushless DC motors was carried out using the improved genetic algorithm,in which the probabilities of the crossover and the mutation were varied depending on the fitness values and the generation values of solutions. Considering GA is feeblish in its upper phase while hill-climbing method is well known for its powerful search ability in local optimization,this paper coupled the two algorithms for motor design optimization. The optimization calculation and the experimental results show that the improvement of GA is effective.
出处
《微特电机》
北大核心
2009年第12期19-21,共3页
Small & Special Electrical Machines
