A Study on Improvement of AHU Control Performance using Reinforcement Learning 


Vol. 27,  No. 5, pp. 467-474, May  2002


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  Abstract

Most common applications using neural networks for control problems are the automatic controls using the artificial perceptual funtion. These control mechanisms are similar to those of the intelligent and pattern recognition control of an adaptive method frequently performed by the animate nature. Many automated buildings are using HVAC(Heating Ventilating and Air Conditioning) by PI that has simple and solid characteristics. However, to keep up good performance, proper tuning and re-tuning are necessary.
In this paper, as the one of method to solve the above problems and improve control performance of controller, using reinforcement learning method for the one of neural network learning method(supervised/unsupervised/reinforcement learning), reinforcement learning controller is proposed and the validity will be evaluated under the real operating condition of AHU(Air Handling Unit) in the environment chamber.

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  Cite this article

[IEEE Style]

S. Yoo, M. Kim, J. So, H. Kwak, "A Study on Improvement of AHU Control Performance using Reinforcement Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 467-474, 2002. DOI: .

[ACM Style]

Seung-sun Yoo, Moon-seong Kim, Jung-hoon So, and Hoon-sung Kwak. 2002. A Study on Improvement of AHU Control Performance using Reinforcement Learning. The Journal of Korean Institute of Communications and Information Sciences, 27, 5, (2002), 467-474. DOI: .

[KICS Style]

Seung-sun Yoo, Moon-seong Kim, Jung-hoon So, Hoon-sung Kwak, "A Study on Improvement of AHU Control Performance using Reinforcement Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 467-474, 5. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880