The Modeling and Simulation of VAV System Based on BP Neural Network

摘要：

VAV (variable air volume) system is a kind of all-air air conditioning system that adjusts indoor temperature by adjusting the supply air volume. This paper builds the mathematical model of supply air temperature of VAV using the step response method, and simulates the model with pure time delay according to PID parameters tuning based on BP (back propagation) neural network, and compares the simulation results with that based on traditional PID, which shows the control effect is superior to traditional PID.

关键词： variable air volume back propagation neural network simulation

作者: Zengxi Feng Qingchang Ren Junqi Yu

作者单位: School of Info. & Cont. Eng., Xian Univ. of Arch. & Tech. Xian, China

会议类型: 国际会议

会议名称: The 4th International Conference on Technology of Architecture and Structure Xian 2011(2011中国(西安)国际建筑科技大会)

会议地点: 西安

会议语种:英文

页码: 358-361

在线出版日期: 2011-09-22（万方平台首次上网日期，不代表论文的发表时间）