空调蒸发器的自适应预测控制策略  

Adaptive Predictive Control Strategy for Evaporator of Air-Conditioning

作　　者：贾立[1] 陈广博[1] 邱铭森[2] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072 [2]新加坡国立大学工程学院,新加坡119260

出　　处：《控制工程》2009年第4期391-393,397,共4页Control Engineering of China

基　　金：上海市重点学科建设基金资助项目(T0103)

摘　　要：针对空调蒸发器运行状态,提出一种基于模糊神经模型的自适应单神经元预测控制器,该控制器具有结构简单、易于操作、控制器参数可在线调节的特点。离线建立空调蒸发器的模糊神经模型,再利用模型的梯度信息在线调节单神经元控制器参数,使控制系统较快地趋于稳定。仿真结果表明,提出的自适应单神经元预测控制器具有较好的动态性能和稳态性能,并能够成功地应用到空调蒸发器的控制中。An adaptive predictive controller based on fuzzy neural model is proposed for the operation condition of the air-conditioning evaporator. The proposed adaptive predictive controller is mimics PID controller, therefore it possesses simply structure and can be easily operated. The evaporator is identified by fuzzy neural model, and then the parameters of the proposed controller are adjusted by gradient descent algorithm on line. The simulation results show that the proposed controller based on fuzzy neural model possesses better performance and can be used in evaporator of air-conditioning.

关 键 词：蒸发器 过度热控制 模糊神经模型 预测控制 单神经元控制器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]