基于改进遗传算法的模糊温度控制在空调中的应用  

Application of Fuzzy Temperature Control in Air-condition Based on Improved GA

作　　者：赵刚[1] 张九根[1] 杨珊珊[1] 徐玮[1] Zhao Gang;Zhang Jiugen;Yang Shanshan;Xu Wei(Automation and Electrical Engineering Institute,Nanjing University of Technology,Nanjing 211816,China)

机构地区：[1]南京工业大学自动化与电气工程学院,南京211816

出　　处：《科技通报》2017年第8期156-161,共6页Bulletin of Science and Technology

摘　　要：针对VRV空调温度控制系统的滞后、时变、非线性等特点,提出将模糊控制和遗传算法相结合,设计出基于改进遗传优化算法的模糊温度控制器,进行了两者对空调系统房间温度控制的仿真及对比分析,结果表明采用改进遗传算法的模糊控制器后,系统能够迅速稳定在设定值周围,在大大缩短了调节时间和减小稳态误差的同时,保持了对扰动的抵抗能力,使得系统的稳定性没有太大改变,即算法可以保证房间温度最终趋于设定值25℃。According to lagging,time-varying and nonlinear characteristics of the VRV air-conditioning temperature control system,Fuzzy control technology,genetic algorithm is analyzed,put forward the viewpoint that combining the two methods,design based on improved genetic algorithm of Fuzzy temperature controller,simulate and comparative analysize the two algorithm of the room temperature control system,Experimental results show that after using the improved fuzzy controller based on genetic algorithm,the system can quickly stable around the setting value,greatly shorten the adjustment time and reduce the steady-state error at the same time,to maintain the ability to resist the disturbance,the stability of the system is not too big change,namely,the algorithm can guarantee the room temperature eventually tends to set the value of25℃.

关 键 词：VRV空调 模糊控制 遗传算法算法 优化控制 

分 类 号：TP237[自动化与计算机技术—检测技术与自动化装置]