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Snejana Yordanova



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Snejana Yordanova


WSEAS Transactions on Circuits and Systems


Print ISSN: 1109-2734
E-ISSN: 2224-266X

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 16, 2017



Energy Efficient Fuzzy Logic Control of Indoor Air-Conditioning in Real Time

AUTHORS: Snejana Yordanova

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ABSTRACT: The indoor human comfort, working efficiency and health are dependent on the control of the quality of air in a heating-ventilation and air-conditioning (HVAC) system. The aim of present paper is to improve this control considering the most important variables – the air temperature, relative humidity and concentration of carbon dioxide by applying fuzzy logic and genetic algorithms (GAs) for compensation of the variables coupling and the plant nonlinearity by energy efficient control. Two fuzzy logic controllers (FLCs) are designed, one of which two-variable based on a derived modified two-variable Takagi-Sugeno-Kang (TSK) plant model. GAs off-line parameter optimization is applied in the TSK modelling and the FLCs tuning. The FLCs are programmed in MATLABTM and in an industrial programmable logic controller and applied for the real time control of the variables of a laboratory HVAC system. The short settling time and the lack of overshoot in the transient responses of the controlled variables are an evidence for the high accuracy reached and the economic control.

KEYWORDS: Energy efficiency, Fuzzy logic controllers, Genetic algorithms, HVAC, Real time control, TSK modelling, Two-variable plant

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[17] S. Yordanova, D. Merazchiev, L. Jain, A TwoVariable Fuzzy Control Design with Application to an Air-Conditioning System, IEEE Trans. on Fuzzy Systems, Vol.23, No.2, 2015, pp.474-481.

[18] S. Yordanova, D. Merazchiev, V. Mladenov, Fuzzy Control of Carbon Dioxide Concentration in Premises, In: Recent Advances in Systems Science. Proc. 17th Int. Conf. on Systems –CSCC’13, 16-19 July, 2013, Rhodes Island, Greece, 2013, pp. 269-273.

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WSEAS Transactions on Circuits and Systems, ISSN / E-ISSN: 1109-2734 / 2224-266X, Volume 16, 2017, Art. #19, pp. 163-170


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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