Modeling and Parameter Identification of Fresh Air System Based on ANFIS

摘要：

A fresh air system with solar collectors and Latent Heat Thermal Storage （LHTS ）tank filled with Phase Change Material was firstly introduced in this paper. For the mathematical model of the fresh air system is difficult to accurately establish, the adaptive neuro-fuzzy inference controller was proposed to realize the parameter identifications of the system applying for the back-propagation algorithm of BP neural network. The results shows that the modeling and parameter identification method of the algorithm using ANFIS can approximate the characteristics of the fresh air system to a great extent, and the error is almost zero.

关键词： fresh air BP modeling and parameter identification ANFIS

作者: YANG Jun WANG Li-li CHEN Chao

作者单位: Automation schoolBeijing University of Posts and TelecommunicationsBeijing, china College of Architecture and Civil Engineering Beijing University of Technology Beijing, china

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）