摘要
针对变风量空调模糊控制系统控制规则的获取依赖人类经验的问题,提出将遗传算法与模糊控制相结合。在推导适应度值函数的基础上,利用遗传算法获取控制规则,改善控制效果。一定程度上解决了人为调试获取规则困难的问题。仿真结果表明,在变风量空调系统中将遗传算法与模糊控制相结合是可行的。
To overcome the over-dependence on human experience in obtaining control rules in VAV air-conditioning fuzzy control system ,a combination of genetic algorithm and fuzzy control was proposed .Based on derivation of fitness function , the effect of control could be improved by making use of genetic algorithm to optimize control rules of fuzzy control system automaticaly .Therefore ,the imperfect and suboptimal control rules obtained from human would be avoided .The simulation results show that the combination of genetic algorithm and fuzzy control in VAV air-conditioning system is feasible .
出处
《陕西理工学院学报（自然科学版）》
2014年第1期1-4,共4页
Journal of Shananxi University of Technology:Natural Science Edition
基金
陕西省教育厅重点实验室项目(11JS026)
关键词
变风量空调系统
遗传算法
模糊控制
VAV air-conditioning system
genetic algorithms
fuzzy control
