中文摘要：

以中央空调冷却水系统为研究对象，分析了同时改变冷却塔风量、冷却水流量（双变量调节或双机变频）对冷却水系统能耗的影响，此外建立了冷冻水系统中压差二次泵控制的数学模型，采用增量PID控制算法对冷冻水系统压差进行控制达到了良好的控制效果，同时采用单神经元PID的控制算法对风系统的稳定运行进行了控制，其中单神经元的学习规则采用了期望值与实际值之差为导师信号的有监督的有监督Hebb学习法则。结合实际系统在冷冻水系统及风系统稳定运行的前提下，分析了冷却水系统在不同系统负荷及湿球温度条件下双变量调节的节能效果，得出一组冷却水系统最优能耗运行时不同负荷及湿球温度下双变量的匹配关系，为工程应用提出了参考方案。

英文摘要：

Taking the central air conditioning cooling water system as the research object, the influence of the cooling water system energy consumption is analyzed by changing variable flow of the cooling tower fan and cooling water flow rate （ so called double variables regulation） simultaneously, and the mathematical model of secondary chilled water pump pressure control system in the chilled water system is established additionally, achieving good control effect by using the incremental PID control algorithm to control the chilled water system pressure, while by using a single neuron PID control algorithm the stable operation of the ventilation system is controlled, among which the learning rule of one single neuron takes the difference between expected and actual value as the tutor message to supervise the Hebb learning rule. Combined with the actual system in condition that the chilled water system and air system stably run, the energy saving effect of the cooling water system in different system loading and wet bulb temperature conditions are analyzed, and match relationship between the different loads for a set of optimal consumption of cooling water system and wet bulb temperatures with bivariant adjustment are draw, which gives a reference for engineering application.