自适应模糊控制在制冷系统中的应用

Self-Adjusting Fuzzy Logic Controller for Refrigeration Systems

在制冷系统中,由于其系统组成复杂,被控对象存在强非线性和大滞后特性,常规的PID控制系统无法满足控制要求。本文提出了一种自适应模糊控制算法,通过增加自适应调整因子和积分项提高制冷系统的控制性能。试验箱低温控制实验表明,自适应模糊控制在制冷系统中控制效果优异。

In this paper,a self-adjusting fuzzy logic controller(SAFLC)is proposed to improve the performance of refrigeration systems and enhance power efficiency for environmental test chamber(ETC).In this control algorithm,an adjusting factor and an integral term are added based on the conventional fuzzy logic controller(FLC)to improve the control accuracy and the transient performance.The fuzzy rules of this algorithm can be modified on-line by the adjusting factor on the current error.The experiment results show that the new method can overcome strong nonlinear and large lag features of the refrigeration systems.