基于遗传算法的开关磁阻电机自适应模糊控制  

GA-Based Adaptive Fuzzy Logic Controller for Switched Reluctance Motor

作　　者：修杰[1] 夏长亮[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《电工技术学报》2007年第11期69-73,共5页Transactions of China Electrotechnical Society

基　　金：天津市自然科学基金资助项目(06YFJMJC01900)

摘　　要：开关磁阻电机的非线性特性导致采用传统的PID控制很难取得较好的控制效果,而采用模糊控制则比较适宜。传统的模糊控制是采用一组模糊条件语句来表达控制规则,控制规则的调整十分困难。采用带有调整因子的解析式来表达模糊控制规则,可方便地通过改变调整因子来调整控制规则。模糊控制过程中,在不同的误差段对调整因子的要求不一样,故应采用带有多个调整因子的模糊控制器。多个调整因子直接影响控制规则,进而影响控制品质,因此多个调整因子的确定具有重要意义。本文采用遗传算法对调整因子在线寻优,以达到最优控制效果。实验结果表明,系统的动态响应快、超调小、稳态精度高,具有较好的控制效果。The nonlinearity of switched reluctance motor （SRM） makes that the conventional PID controller is impossible to obtain good control performance, otherwise fuzzy logic controller （FLC） is a good choice. In the conventional FLC, the control rules are expressed by a set of linguistic rules. This makes the tuning of the control rule is very difficult. Using formula with parameter to express fuzzy control rule, the control rule can be tuned conveniently by adjusting the parameter. In different response stages, the requirements for parameter is different. So FLC with multi-parameter is required. The determining of multi-parameter has important meaning, for it directly affects control rule. In this paper, genetic algorithm （GA） is adopted to tune parameter online to obtain a high performance. The experimental results show that the system responds quickly with little overshot, and accuracy in steady state is high. The system shows a good control performance.

关 键 词：开关磁阻电机 模糊控制 遗传算法 

分 类 号：TM352[电气工程—电机]