Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic


  • 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 |


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.


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


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How to Cite

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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