基于分层遗传算法的模糊控制

Fuzzy control based on hierarchical genetic algorithms

介绍了模糊控制系统和遗传算法的基本内容及二者间的融合 .基于遗传算法的模糊系统模型辨识 ,引出了可以对实际复杂系统总结出较完善控制规则的分层遗传算法的模糊控制 .分层遗传算法通过基因操作使控制基因和由控制基因控制的参数基因都得到改变 ,进而使控制规则的结构和形状及个数得到了优化 .将这种分层模糊控制技术应用于铝电解工业中的极距控制 ,可使改进后的极距控制系统的动态性能和稳态误差都得到提高 .

Basic contents of fuzzy control and genetic algorithms and their combination are introduced. The fuzzy control of hierarchical genetic algorithms which can summ arize perfect control rules for real complicated system are drawn. Through the g ene operation, this algorithms change the control gene and the parameter gene co ntrolled by the former. Thus the structure and form and number of the control ru les are optimized. These algorithms were applied to the control of distance of anode in aluminium electrolysis industry and the results show that the dynam ic performance and stable error of distance of anode are improved.