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Intelligent Control of the Microclimate of an Agricultural Greenhouse Powered by a Supporting PV System

Sciprofile linkJamel Riahi, Sciprofile linkSilvano Vergura, Sciprofile linkDhafer Mezghani, Sciprofile linkAbdelkader Mami
Published: 17 February 2020
 by  MDPI
Applied Sciences , Volume 10; doi:10.3390/app10041350

Abstract: An agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create a favorable microclimate for agricultural production. Temperature and internal humidity are two parameters that have a major impact on greenhouse yield. The objective of this study was to propose a simulated dynamic model in a MATLAB/Simulink environment for experimental validation. Moreover, a fuzzy controller was designed to manage a greenhouse indoor climate by means of an asynchronous motor for ventilation, heating, humidification, etc. An intelligent system to control these actuators for an optimal inside climate was implemented in the model. The dynamic model was validated by comparing the simulation results to experimental measurements. These results showed the effectiveness of the control strategy in regulating the greenhouse indoor climate. Finally, a photovoltaic generator was modeled, with the aim of reducing the costs of agricultural production. It feeds the asynchronous motor with a vector control optimized by fuzzy logic that drives a variable speed fan.
Keywords: MPPT / vector control / dynamic model / fuzzy controller / photovoltaic generator / Matlab/simulink Environment / converter SEPIC

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