摘要
模糊控制规则的正确选择是模糊控制器设计的关键,它决定了模糊控制系统的动态、静态性能和控制效果 针对传统的获取控制规则方法的不足,提出了在一个待优化模糊控制器的基础上,采用改进的遗传算法优化其模糊控制规则,从而使经过优化所获得的控制规则更加合理 最后对优化后的模糊控制器进行仿真比较研究,并将其应用于温室,实现温室温度的模糊控制
The proper selection of fuzzy logic rules, which determines the dynamic and static performance and control effect, is the key to designing a fuzzy controller Aiming at improving the deficiency in traditional fuzzy control rules, we present a method using CGA to optimize fuzzy control rules. The optimized fuzzy logic controller has been compared with the traditional one, and been applied to simulate greenhouse control of its temperature The results suggest that the control quality of the fuzzy logic controller, of which the fuzzy rules have been optimized,are greatly improved
出处
《江苏大学学报（自然科学版）》
EI
CAS
2003年第4期69-73,共5页
Journal of Jiangsu University：Natural Science Edition
基金
江苏省"九五"重大攻关项目(BG98502)
关键词
模糊控制规则
遗传算法
仿真
温室
fuzzy logic rules
genetic algorithms
simulation
greenhouse
