Identification and Prediction of Room Temperature Delay Neural Network Model for VAV Air Conditioning

Authors

Xiuming Li, Dalian University of Technology, Dalian 116024, China;
Jili Zhang, Dalian University of Technology, Dalian 116024, China;
Tianyi Zhao, Dalian University of Technology, Dalian 116024, China;
Tingting Chen, Dalian University of Technology, Dalian 116024, China;

Abstract

Abstract: Aiming at the problem of mathematical description for dynamic response characteristic of indoor temperature time-delay system, the fundamental principle of neural network model identification is introduced in regulation process of variable air volume (VAV) air conditioning system. Considering the model structure of Elman neural network, this paper presents an optimal selection algorithm for layer delay coefficient in order to determine delay time between indoor temperature and regulation parameters; and a multiple-step prediction model of indoor temperature time-delay system based on Elman neural network is built. The effectiveness of the proposed method is validated through the simulation experiment.

Recommended Citation

Li, Xiuming; Zhang, Jili; Zhao, Tianyi; and Chen, Tingting (2019) "Identification and Prediction of Room Temperature Delay Neural Network Model for VAV Air Conditioning," Journal of System Simulation: Vol. 31: Iss. 5, Article 5.
DOI: 10.16182/j.issn1004731x.joss.17-0175
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss5/5

First Page

861

Revised Date

2017-06-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0175

Last Page

868

CLC

TP273

Recommended Citation

Li Xiuming, Zhang Jili, Zhao Tianyi, Chen Tingting. Identification and Prediction of Room Temperature Delay Neural Network Model for VAV Air Conditioning[J]. Journal of System Simulation, 2019, 31(5): 861-868.

DOI

10.16182/j.issn1004731x.joss.17-0175