Greenhouse Modeling, Validation and Climate Control based on Fuzzy Logic
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
L. M. Mortensen, “Growth responses of some greenhouse plants to environment: III. Design and function of a growth chamber prototype”, Scientia Horticulturae, Vol. 16, No. 1, pp. 57-63, 1982 DOI: https://doi.org/10.1016/0304-4238(82)90024-3
L. Meihui, D. Shangfeng, C. Lijun, H. Yaofeng, “Greenhouse Multi-Variables Control by Using Feedback Linearization Decoupling Method”, Chinese Automation Congress, Jinan, China, Octomber 20-22, 2017 DOI: https://doi.org/10.1109/CAC.2017.8242839
M. Abbes, A. Farhat, A. Mami, G. D. Tanguy, “Pseudo bond graph model of coupled heat and mass transfers in a plastic tunnel greenhouse”, Simulation Modelling Practice and Theory, Vol. 18, No. 9, pp. 1327-1341, 2010 DOI: https://doi.org/10.1016/j.simpat.2010.05.006
G. D. Pasgianos, K. G. Arvanitis, P. Polycarpou, N. Sigrimis, “A nonlinear feedback technique for greenhouse environmental control”, Computer and Electronics Agriculture, Vol. 40, No. 1-3, pp. 153-177, 2003 DOI: https://doi.org/10.1016/S0168-1699(03)00018-8
C. J. Taylor, P. C. Young, A. Chotai, A. R. Mcleod, A. R. Glasock, “Modelling and proportional-integral-plus control design for free air carbon dioxide enrichment systems”, Journal of Agricultural Engineering Research, Vol. 75, No. 4, pp. 365-374, 2000 DOI: https://doi.org/10.1006/jaer.1999.0515
E. J. V. Henten, J. Bontsema, “Time-scale decomposition of an optimal control problem in greenhouse climate management”, Control Engineering Practice, Vol. 17, No. 1, pp. 88-96, 2009 DOI: https://doi.org/10.1016/j.conengprac.2008.05.008
X. Luan, P. Shi, F. Liu, “Robust adaptive control for greenhouse climate using neural networks”, International Journal of Robust and Nonlinear Control, Vol. 21, No. 7, pp. 815–826, 2011 DOI: https://doi.org/10.1002/rnc.1630
R. Linker, I. Seginer, P. O. Gutman, “Optimal CO2 control in a greenhouse modeled with neural networks”, Computers and Electronics in Agriculture, Vol. 19, No. 3, pp. 289–310, 1998 DOI: https://doi.org/10.1016/S0168-1699(98)00008-8
P. M. Ferreira, E. A. Faria, A. E. Ruano, “Neural network models in greenhouse air temperature prediction”, Neurocomputing, Vol. 43, No. 1-4, pp. 51-75, 2002 DOI: https://doi.org/10.1016/S0925-2312(01)00620-8
M. Azaza, K. Echaieb, F. Tadeo, E. Fabrizio, A. Iqbal, A. Mami, “Fuzzy decoupling control of greenhouse climate”, Arabian Journal for Science and Engineering, Vol. 40, No. 9, pp. 2805-2812, 2015 DOI: https://doi.org/10.1007/s13369-015-1719-5
P. Salgado, J. B. Cunha, “Greenhouse climate hierarchical fuzzy modelling”, Control Engineering Practice, Vol. 13, No. 5, pp. 613–628, 2005 DOI: https://doi.org/10.1016/j.conengprac.2004.05.007
M. Nachidi, F. Rodriguez, F. Tadeo, J. L. Guzman, “Takagi-sugeno control of nocturnal temperature in greenhouses using air heating”, ISA Transactions, Vol. 50, No. 2, pp. 315-320, 2011 DOI: https://doi.org/10.1016/j.isatra.2010.11.007
M. Y. E. Ghoumari, H. J. Tantau, J. Serrano, “Non-linear constrained MPC: Real-time implementation of greenhouse air temperature control”, Computers and Electronics in Agriculture, Vol. 49, No. 3, pp. 345–356, 2005 DOI: https://doi.org/10.1016/j.compag.2005.08.005
J. P. Coelho, P. B. de Moura Oliveira, J. B. Cunha, “Greenhouse air temperature predictive control using the particle swarm optimisation algorithm”, Computers and Electronics in Agriculture, Vol. 49, No. 3, pp. 330–344, 2005 DOI: https://doi.org/10.1016/j.compag.2005.08.003
Q. Zou, J. Ji, S. Zhang, M. Shi, Y. Luo, “Model Predictive Control Based on Particle Swarm Optimization of Greenhouse Climate for Saving Energy Consumption”, World Automation Congress, Kobe, Japan, September 19-23, 2010
M. Jomaa, F. Tadeo, A. Mami, “Modelling and Control of Greenhouses Powered by a Renewable Energy System”, 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, Monastir, Tunisia, December 21-23, 2017 DOI: https://doi.org/10.1109/STA.2017.8314903
X. Blasco, M. Martinez, J. M. Herrero, C. Ramos, J. Sanchis, “Model-based predictive control of greenhouse climate for reducing energy and water consumption”, Computers and Electronics in Agriculture, Vol. 55, No. 1, pp. 49-70, 2007 DOI: https://doi.org/10.1016/j.compag.2006.12.001
K. A. Joudi, A. A. Farhan, “A dynamic model and an experimental study for the internal air soil temperatures in an innovative greenhouse”, Energy Conversion and Management, Vol. 91, pp. 76-82, 2015 DOI: https://doi.org/10.1016/j.enconman.2014.11.052
R. C. Miranda, E. V. Ramos, R. R. Peniche-Vera, G. Herrera-Ruiz, “Fuzzy greenhouse climate control system based on a field programmable gate array”, Biosystems Engineering, Vol. 94, No. 2, pp. 165-177, 2006 DOI: https://doi.org/10.1016/j.biosystemseng.2006.02.012
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