空气焓差法试验台空调系统在线辨识算法的研究  

Research on Online Identification Arithmetic in Air-conditioning System of Air Enthalpy Difference Testing Platform

作　　者：白建波[1] 张小松[1] 

机构地区：[1]东南大学,江苏南京210096

出　　处：《流体机械》2007年第4期68-72,共5页Fluid Machinery

基　　金：国家自然科学基金项目(50376052)

摘　　要：对空气焓差法试验台空调系统的温度控制进行了动态特性分析并建立了数学模型。采用了带遗忘因子的递推最小二乘和基于零频率的模型匹配的联合辨识算法对空调系统进行在线辨识。仿真结果表明,该联合算法计算量较少,具有良好的辨识精度,可以不断提供试验台空调系统温度控制对象的实时模型。该辨识算法为空调对象的自适应控制提供了重要的手段。The dynamic behavior and mathematical model of temperature control in air-conditioning system of air enthalpydifference testing platform were analyzed. A kind of arithmetic of recursive least squares （RLS） method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online. Simulation results show that the joint arithmetic has less computing with good precision; it can obtain the real-time model of the platform＇s air-conditioning system continually. It provides an effective way to realize self-tuning control in air-conditioning systems.

关 键 词：空调系统 数学模型 在线辨识 递推最小二乘 

分 类 号：TB657.2[一般工业技术—制冷工程]