摘要
针对热电厂供热系统尖峰加热器温度控制的现状,提出了一种智能控制的方法———温度的模糊控制.采用遗传算法寻优隶属函数参数,利用自组织近邻聚类法处理输入输出数据对,结合数据产生模糊规则和语言规则的方法得到模糊规则.仿真结果表明,所设计的模糊控制器控制性能可达到预定的效果.
In view of present situation of temperature control of heating system＇s peak heater in thermal power plant, we propose an intelligent control method-temperature＇s fuzzy control. Uses the Genetic Algorithms for optimizing the membership function parameter, utilizes self-organizing close neighbor clustering law to process a pair of in-out data and uses the method which generates the fuzzy rules and linguistic rules to obtain fuzzy rules. The simulation result indicated control performance of the fuzzy controller which this article proposes can attain to the predetermined effect.
出处
《辽宁师范大学学报（自然科学版）》
CAS
北大核心
2006年第4期410-412,共3页
Journal of Liaoning Normal University:Natural Science Edition
关键词
供热系统
模糊控制
隶属函数
遗传算法
自组织近邻聚类
heating system
fuzzy control
membership function
genetic algorithms
self-organizing close neighbor clustering
