摘要
以永磁无刷直流电动机作为被控对象,运用一种改进的混合遗传算法对其速度控制器的参数进行了优化设计,该算法针对常规遗传算法搜索效率低和早熟收敛的缺点,通过将单纯形法与自适应遗传算法相组合形成了一种全局优化算法,并进行仿真分析和验证,证实了采用该算法确能起到更好优化调速性能的目的。
Improved mix genetic algorithm was applied to optimization design in velocity modulator for the parameter of PI in the example of velocity modulation for permanent - magnet brushless DC motor in this paper. It was overall situation optimization algorithm including simplicity shape algorithm and adaptive GA solved search efficiency lowness and earliness convergence of common - GA. The simulation result of step response showed that the improved mix genetic algorithm can attain the better optimization control effect.
出处
《微特电机》
北大核心
2008年第1期37-39,57,共4页
Small & Special Electrical Machines
基金
西华大学人才基金资助项目(0429126)
关键词
永磁无刷直流电动机
改进混合遗传算法
仿真
permanent- magnet brushless DC motor
improved mix genetic algorithm
simulation
