Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic

Authors

  • M. Jomaa Department of Physics, Efficiency and Renewable Energies, Tunis El Manar University, Tunisia
  • M. Abbes Laboratoire Analyse et Commande des Systemes, National Engineering School of Tunis, Tunisia
  • F. Tadeo Department of Systems and Automation Engineering, University of Valladolid, Spain
  • A. Mami Laboratory of Application of Energy, Efficiency and Renewable Energies, Tunis El Manar University, Tunisia
Volume: 9 | Issue: 4 | Pages: 4405-4410 | August 2019 | https://doi.org/10.48084/etasr.2871

Abstract

This paper deals with the modeling and control of the air temperature and humidity in greenhouses. A physical model of the greenhouse used in the Simulink/Matlab environment is elaborated to simulate both temperature and indoor humidity. As a solution to the non-linearity and complexity of the greenhouse system, a fuzzy logic method is developed to control the actuators that are installed inside the greenhouse for heating, ventilation, humidification and cooling to obtain a suitable microclimate.

Keywords:

greenhouse, fuzzy logic controller, air temperature, humidity, Simulink, Matlab

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References

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How to Cite

[1]
M. Jomaa, M. Abbes, F. Tadeo, and A. Mami, “Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic”, Eng. Technol. Appl. Sci. Res., vol. 9, no. 4, pp. 4405–4410, Aug. 2019.

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