基于遗传算法的无刷直流电动机自适应模糊控制  

The Adaptive Fuzzy Control of Brushless DC Motor Based on Genetic Algorithm

作　　者：侯春杰[1] 张雷[1] 孟令瑞[1] 

机构地区：[1]河南科技大学,洛阳471023

出　　处：《微特电机》2014年第10期63-66,共4页Small & Special Electrical Machines

基　　金：国家自然科学基金项目(61040010)

摘　　要：针对模糊控制器所存在的问题,提出了基于遗传优化机制自适应模糊控制器的设计方法。模糊控制规则和模糊变量的隶属度函数的参数,均利用遗传算法进行离线确定和优化。将优化后的自适应模糊控制器用于无刷直流电动机的双闭环控制系统中。仿真结果表明该系统无超调、响应快,具有较强的鲁棒性。According to the problems of the fuzzy controller,a design method of adaptive fuzzy logic controller based on genetic algorithm was proposed.All the control rules and the membership function parameters of fuzzy variables were determined and optimized off-line based on genetic algorithm.The fuzzy adaptive controller based on genetic optimization was applied in the double close-loop control.The simulation results show that the control system has fast dynamic response characteristic,non-overshoot,good adaptability and robustness.

关 键 词：无刷直流电动机 自适应控制 模糊控制 遗传算法 

分 类 号：TM33[电气工程—电机]