基于RBF神经网络辨识的单神经元控制器在冷却水处理系统中的应用  

Application of Single Neuron Controller in Cooling Water Treatment System Based on RBF Neural Network Identification

作　　者：赵恒鑫[1] 白燕[1] 胡东然[1] 王一[1] 

机构地区：[1]西安建筑科技大学,陕西西安710055

出　　处：《现代建筑电气》2013年第3期45-49,共5页Modern Architecture Electric

基　　金：陕西省教育厅自然科学基金项目(11JK0906)

摘　　要：以某大学智能楼宇研究所变风量空调实验室为试验平台,研究了冷却水的节能控制方案,设计了基于RBF神经网络辨识的单神经元控制器,并将其部署于冷却水子系统。试验结果表明,该算法可显著改善冷却水系统控制效果,达到使冷却塔出水温度稳定的目的,保证冷却水系统能安全、稳定运行。仿真试验验证了该方法的可行性。Taking the intelligent building VAV laboralory of a university as a platform, the energy control scheme air conditioning cooling water system was studied. The single neuron controller based on RBF neural network identification was applied in cooling water subsystem. The experimental results showed that the algorithm could improve the control effect of cooling water system and keep the cooling tower water temperature stable. The controller can guarantee cooling water system sate, and stable. Simulation results showed that the system has effectiveness and good performance.

关 键 词：RBF神经网络 单神经元控制器 空调冷却水系统 冷却水温度控制 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程] TP183[自动化与计算机技术—控制理论与控制工程]