Neural Temperature Control in a Water Cylinder

Author:

Sita Ioan Valentin1,Mureşan Vlad1

Affiliation:

1. Technical University of Cluj–Napoca

Abstract

In this paper is presented a solution for controlling the temperature in a water cylinder, used for supplying a building with domestic hot water. Automatic temperature adjustment is achieved by using a neural controller in order to provide superior control performances provided by classical controllers. Also, the used control strategy is based on the use of reference model of the expressed process. Simulation control structure is done both in the absence, as well as in case of interference signals.

Publisher

Trans Tech Publications, Ltd.

Reference10 articles.

1. S. Wang: Intelligent Buildings and Building Automation, Taylor & Francis, New York, (2009).

2. M. Ilina: Heating Installations, Technical Installations Encyclopedia, Artecno, ed., (2010).

3. V. Mureşan and M. Abrudean: Temperature Modelling and Simulation in the Furnace with Rotary Hearth, Proceedings of 2010 IEEE AQTR 2010–17th edition, Cluj-Napoca, Romania, May 28-30, (2010), pp.147-152.

4. S. Haykin: Neural Networks and Learning Machines, Third Edition, Pearson International Edition, (2009), pg. 934.

5. H. Valean: A Dynamic Neural Network Approach for an Acetylene Converter Modelling and Control, Automation Computers Applied Mathematics Scientific Journal ACAM, vol. 8, No. 1, (1999), pp.23-29.

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