Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27463
Title: An automatic data acquisition system for on-line training of artificial neural network-based air handling unit modeling
Authors: Tse, WL
Chan, WL 
Keywords: Air handling unit
Artificial neural network
Data acquisition system
Non-linear system
Issue Date: 2005
Publisher: Elsevier
Source: Measurement : journal of the international measurement confederation, 2005, v. 37, no. 1, p. 39-46 How to cite?
Journal: Measurement : journal of the international measurement confederation 
Abstract: Air-conditioning systems are highly non-linear. A conventional air-conditioning control cannot achieve thermal comfort environments all the times. Artificial neural networks have been proven to be successfully applicable in this area. However, they required on-line field data to re-tune themselves. In this paper, a fully automatic data acquisition system was developed for this purpose. The system consisted of a real air-handling unit, thermal sensors, data acquisition boards and a computer with an acquisition program. Substantial experiments were carried out to capture the operating characteristics of the real air-conditioning plant. With the help of the acquisition system, a neural network-based model was built which could accurately predict the behaviors of the plant. A practical optimal control is thus possible. The methodology in this paper, the proposed acquisition system with the neural network under on-line training, can be applied in other areas for better control performances.
URI: http://hdl.handle.net/10397/27463
ISSN: 0263-2241
DOI: 10.1016/j.measurement.2004.08.003
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