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Fuzzy logic controller implementation for a solar air-conditioning system

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  • Lygouras, J.N.
  • Botsaris, P.N.
  • Vourvoulakis, J.
  • Kodogiannis, V.

Abstract

The implementation of a variable structure fuzzy logic controller for a solar powered air conditioning system and its advantages are investigated in this paper. Two DC motors are used to drive the generator pump and the feed pump of the solar air-conditioner. Two different control schemes for the DC motors rotational speed adjustment are implemented and tested: the first one is a pure fuzzy controller, its output being the control signal for the DC motor driver. A 7 x 7 fuzzy matrix assigns the controller output with respect to the error value and the derivative of the error. The second scheme is a two-level controller. The lower level is a conventional PID controller, and the higher level is a fuzzy controller acting over the parameters of the low level controller. Step response of the two control loops are presented as experimental results. The contribution of this design is that in the control system, the fuzzy logic is implemented through software in a common, inexpensive, 16-bit microcontroller, which does not have special abilities for fuzzy control.

Suggested Citation

  • Lygouras, J.N. & Botsaris, P.N. & Vourvoulakis, J. & Kodogiannis, V., 2007. "Fuzzy logic controller implementation for a solar air-conditioning system," Applied Energy, Elsevier, vol. 84(12), pages 1305-1318, December.
    • Handle: RePEc:eee:appene:v:84:y:2007:i:12:p:1305-1318
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    References listed on IDEAS

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    1. Papadopoulos, A. M. & Oxizidis, S. & Kyriakis, N., 2003. "Perspectives of solar cooling in view of the developments in the air-conditioning sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(5), pages 419-438, October.
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    Cited by:

    1. Jing Zhao & Yu Shan, 2020. "A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System," Energies, MDPI, vol. 13(3), pages 1-17, January.
    2. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    3. Balghouthi, M. & Chahbani, M.H. & Guizani, A., 2012. "Investigation of a solar cooling installation in Tunisia," Applied Energy, Elsevier, vol. 98(C), pages 138-148.

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