International Journal of Mathematical Sciences and Computing(IJMSC)

ISSN: 2310-9025 (Print), ISSN: 2310-9033 (Online)

Published By: MECS Press

IJMSC Vol.3, No.3, Jul. 2017

Modeling a Fuzzy Logic Controller to Simulate and Optimize the Greenhouse Microclimate Management using MATLAB SIMULINK

Full Text (PDF, 881KB), PP.12-27

Views:115   Downloads:5


Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène

Index Terms

Greenhouse;Microclimate, Modeling;Fuzzy logic controller;Optimization;Simulation;Energy saving;Climate Model


The socio-economic evolution of populations has in recent decades a rapid and multiple changes, including dietary habits that have been characterized by the consumption of fresh products out of season and widely available throughout the year. Culture under shelters of fruit, vegetable and flower species developed from the classical to the greenhouse agro - industrial, currently known for its modernity and high level of automation (heating, misting, of conditioning, control, regulation and control, supervisor of computer etc ...). new techniques have emerged, including the use of control devices and regulating climate variables in a greenhouse (temperature, humidity, CO2 concentration etc ...) to the exploitation of artificial intelligence such as neural networks and / or fuzzy logic. Currently the climate computer offers many benefits and solves problems related to the regulation, monitoring and controls. Greenhouse growers remain vigilant and attentive, facing this technological development. they ensure competitiveness and optimize their investments / production cost which continues to grow. The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. it is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior - greenhouse microclimate energy.

Cite This Paper

Didi Faouzi, N. Bibi-Triki, B. Draoui, A. Abène,"Modeling a Fuzzy Logic Controller to Simulate and Optimize the Greenhouse Microclimate Management using MATLAB SIMULINK", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.3, No.3, pp.12-27, 2017.DOI: 10.5815/ijmsc.2017.03.02





[4]S.D. DHAMAKALE and S.B. PATIL , Fuzzy Logic Approach with Microcontroller for Climate Controlling in Green House, International Journal on Emerging Technologies 2(1): 17-19(2011!



[7]N. BIBI-TRIKI, S. BENDIMEMERAD, A.CHERMITTI, T. MAHDJOUB, B. DRAOUI, A.ABENE. Modeling, characterization and Analysis of the dynamic behavior of heat transfer through polyethylene and glass wall of greenhouses. ELSEVIER -Physics Procedia 21(2011)67-74.

[8]S. BENDIMERAD , T. MAHDJOUB , N. BIBI-TRIKI, M.Z BESSENOUCI, B. DRAOUI , H. BRCHAR Simulation and Interpretation of the BIBI Ratio CB (.), as a Function of Thermal Parameters of the Low Inertia Polyethylene Wall of Greenhouses. Rev ELSEVIER Physics Procedia 55(2014)157-164.

[9]B. DRAOUI, F. BOUNAAMA, T. BOULARD, N. BIBI-TRIKI In-situ Modelization of a Greenhouse Climate Including Sensible Heat, Water Vapor and CO2 Balances. EPD science, 2013. EPS Web of conferences 45.01023(2013) DOI: 10105/epjconf/201334501023.

[10]ABDELHAFID HASNI, B.DRAOUI, T.BOULARD, RACHID TAIBI, ABDEDJEBAR HEZZAB, Evolutionary Algorithms in the Optimization of Greenhouse Climate Model Parameters. International Review On Computers and Software (I.RE.CO.S) ,Vol. 3 , N.6 November 2008.

[11]F. BOUAAMA , K. LAMMARI , B. DRAOUI Greenhouse Air Temperature Control Using Fuzzy PID+I and Neuron Fuzzy Hybrid System Controller International Review of Automatic Control (I.RE.A.CO), Vol. xx, n. x September 2008.

[12]ABDELHAFID HASNI, B.DRAOUI, T.BOULARD, RACHID TAIBI, BRAHIM DENNAIA Particle Swarm Optimization of Natural Ventilation Parameters in a Greenhouse With Continuous Roof Vents Sensor & Transducers Journal, Vol. 102, Issue 3, March 2009, pp. 84-93.

[13]F. BOUAAMA, B. DRAOUI Greenhouse Environmental Control Using Optimized MIMO PID Technique Sensors & Transducers Journal, Vol. 133, Issue 10, October 2011, pp. 44-52.

[14]KHELIFA LAMMARI, F. BOUAAMA, B. DRAOUI, BENYOUCEF MRAH, MOHAMED HAIDAS GA Optimization of the Coupled Climate model of an order two of a Greenhouse. Rev ELSEVIER Energy Procedia 18 (2012) 416 – 425.

[15]M. GURBAOUI, A. Ed-DAHHAK, Y. ELAFOU, A. LACHHAB, L. BELKOURA and B. BOUCHIKHI IMPLEMENTATION OF DIRECT FUZZY CONTROLLER IN GREENHOUSE BASED ON LABVIEW International Journal of Electrical and Electronics Engineering Studies Vol.1 No.1, pp.1-13, September 2013.

[16]MOHAMED MASSOUR El AOUD and MOSTAFA MAHER, INTELLIGENT CONTROL FOR A GREENHOUSE CLIMATE, International Journal of Advances in Engineering & Technology, Sept., 2014. ISSN: 22311963.