基于混沌遗传算法的永磁无刷电机优化设计研究

Optimization Design of Permanent Magnet Brushless Motor Based on Chaos Genetic Algorithm

以永磁无刷直流电机为研究对象,介绍了遗传算法中的自适应交叉和自适应变异,在此基础上,提出了一种应用于永磁无刷直流电机的新型混沌遗传优化算法。给出了遗传算法操作设计步骤和永磁无刷电机优化设计的流程图,完成了混沌遗传算法优化设计的理论推导。利用MATLAB软件对优化算法进行编程和仿真分析,得到电机优化前后参数对比表和混沌遗传算法寻优跟踪图,结果显示新型混沌遗传优化算法迭代次数短,优化效果好,可以为永磁无刷电机优化设计提供理论参考。

In this paper, the adaptive cross and adaptive mutation of the genetic algorithm were introduced. On the basis, a new chaos genetic optimization algorithm applied in permanent magnet brushless dc motor was presented. The operation design steps of genetic algorithm and design flow chart of permanent magnet motor were showed, and then, the theoretical derivation of optimization design in chaos genetic optimization algorithm was illustrated. The motor parameter comparison table before and after optimization and the optimal tracking figure of chaos genetic algorithm was obtained by MATLAB simulation. The results showed that the new chaos genetic optimization algorithm had lesser iterations and better effect. This paper provides a theoretical reference for optimization design of main propulsion permanent magnet motor.