摘要
以小型冷库智能控制试验台为被控对象,提出以压缩机频率和冷风机频率为输入参数,以库内空气温度和蒸发器出口过热度为输出参数的两输入两输出自适应模糊控制,以基本模糊控制规则和李雅普洛夫稳定性理论为基础设计自适应稳定模糊控制器,并将控制器应用于现有的冷库制冷系统中进行实验研究。结果表明,在变控制目标的控制过程中,控制器对库温和过热度的控制效果良好。在变负荷的控制过程中,控制器对库温的控制效果良好,但是过热度的控制效果并不好。
The object of this study was to build a small low - temperature intelligent control experimental facility, in which compressor and evaporator fan frequency was variable. The adaptive fuzzy controller controlled cold storage temperature and evapo- rator superheat. Input parameters of the controller were the compressor frequency and cooling fan frequency and output parameters were the cold storage temperature and evaporator superheat. In the process of designing controller, based on basic fuzzy control rules and Lyapunovstability theory, its stability and convergence were proved. Then controller was applied to small low tempera- ture intelligenl control experimental facility to research it＇s stability aud convergenceexpcrimentally. The results show that in the control process of variable control target, the controller can better control the temperature and degree of superheat. In the process of load change control, the controller can better control the temperature, but the degree of superheat is not controlled better.
出处
《低温与超导》
CAS
北大核心
2014年第2期52-55,37,共5页
Cryogenics and Superconductivity
关键词
制冷装置
自适应控制
控制器
实验研究
Refrigeration equipment, Adaptive control, Controller, Experimental study
