基于迭代学习算法的VAV空调系统的送风管道静压控制  

Static Pressure Control of Supply Air Duct in VAV Air Conditioning System Based on lterative Learming Algorithm

作　　者：陆晓红 Lu Xiaohong(Suzhou LJT Intelligent Technology Co.,Ltd.)

机构地区：[1]苏州朗捷通智能科技有限公司

出　　处：《智能建筑》2021年第1期68-71,共4页Intelligent Building

摘　　要：为了减少变风量空调系统的能耗,建立了变风量空调送风系统的模型,将2-D迭代学习算法应用到变风量空调送风系统管道静压的控制上,通过仿真证明在定静压控制模式下2-D迭代学习算法能够实现对管路静压设定值的完全跟踪,减少空调系统传动设备的运行时间,进而减少空调系统的能耗。In order to reduce the energy consumption of variable air volume air conditioning system,a model of VAV air supply system was built,the 2-d iterative learning algorithm was applied to its duct static pressure control system.The simulation proved that 2-d iterative learning algorithm can completely track the setpoint value of the duct static pressure in the constant static pressure control mode,reduce the running time of its transportation facility,thereby reduce its energy consumption.

关 键 词：VAV空调系统 送风系统 2D-迭代学习 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]