Development of a Fuzzy Logic Controller applied to an agricultural greenhouse experimentally validated

Abstract The agricultural greenhouse presents a complicated procedure since the strong perturbations and the important number of its input parameters, which have a great potential and capacity to influence the climate inside it. For this reason, a Fuzzy Logic Controller (FLC) is developed in order to promote a suitable microclimate by activating the appropriate actuators installed inside the greenhouse with the appropriate rate. The dynamic modeling of the studied greenhouse is presented and simulated under MATLAB/Simulink environment to be experimentally validated within the Research and Technology Center of Energy (CRTEn) in Tunisia. The simulation results illustrate the effectiveness of the proposed dynamic model to investigate the internal air temperature and relative humidity with a low percentage of error. In addition, the developed controller FLC presents an effective solution to get an optimized microclimate indoor the agricultural greenhouse.

[1]  G. Straten,et al.  Optimal control of greenhouse climate using minimal energy and grower defined bounds , 2015 .

[2]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[3]  Pierre-Emmanuel Bournet,et al.  Experimental study of the energy balance of unheated greenhouse under hot and arid climates: Study for the night period of winter season , 2010 .

[4]  Ibrahim A. Hameed,et al.  A GA-Based Adaptive Neuro-Fuzzy Controller for Greenhouse Climate Control System , 2015, Alexandria Engineering Journal.

[5]  Paulo Salgado,et al.  Greenhouse climate hierarchical fuzzy modelling , 2005 .

[6]  S. Revathi,et al.  Fuzzy Based Temperature Control of Greenhouse , 2016 .

[7]  T. Boulard,et al.  Greenhouse crop transpiration simulation from external climate conditions , 2000 .

[8]  Abdelhamid Farhat,et al.  Thermal performance of a conic basket heat exchanger coupled to a geothermal heat pump for greenhouse cooling under Tunisian climate , 2015 .

[9]  Abdelhamid Farhat,et al.  Comparative study of conventional and solar heating systems under tunnel Tunisian greenhouses: Thermal performance and economic analysis , 2015 .

[10]  T. Kozai,et al.  Dynamic modeling of the environment in a naturally ventilated, fog-cooled greenhouse , 2006 .

[11]  Belkacem Draoui,et al.  Optimization of Greenhouse Climate Model Parameters Using Particle Swarm Optimization and Genetic Algorithms , 2011 .

[12]  Thierry Boulard,et al.  Development, validation and use of a dynamic model for simulate the climate conditions in a large scale greenhouse equipped with insect-proof nets , 2013 .

[13]  E. Fitz-Rodríguez,et al.  Dynamic modeling and simulation of greenhouse environments under several scenarios: A web-based application , 2010 .

[14]  M. Taki,et al.  Modeling and experimental validation of heat transfer and energy consumption in an innovative greenhouse structure , 2016 .

[15]  Abdelhamid Farhat,et al.  Improvement of the greenhouse climate using a solar air heater with latent storage energy , 2014 .

[16]  Abdelhamid Farhat,et al.  Assessment of the greenhouse climate with a new packed-bed solar air heater at night, in Tunisia , 2014 .

[17]  Fathi Fourati.  Multiple neural control of a greenhouse , 2014, Neurocomputing.

[18]  Guanghui Li,et al.  Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network , 2012, Sensors.

[19]  A Visioli,et al.  Application of SSOD-PI and PI-SSOD event-based controllers to greenhouse climatic control. , 2016, ISA transactions.

[20]  Andrea Gasparella,et al.  Three years experimental comparative analysis of a desiccant based air conditioning system for a flower greenhouse: Assessment of different desiccants , 2014 .

[21]  Abdelkader Mami,et al.  Stabilization using a discrete fuzzy PDC control with PID controllers and pole placement: application to an experimental greenhouse , 2011 .

[22]  Mehmet Melikoglu,et al.  Modelling and simulation of a hybrid solar heating system for greenhouse applications using Matlab/Simulink , 2013 .

[23]  Jean-François Balmat,et al.  Optimized fuzzy control of a greenhouse , 2002, Fuzzy Sets Syst..

[24]  Abdelhamid Farhat,et al.  The effect of nocturnal shutter on insulated greenhouse using a solar air heater with latent storage energy , 2015 .

[25]  Abbas Rohani,et al.  Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse , 2016 .

[26]  Mahmoud Omid,et al.  Environmental impact assessment of tomato and cucumber cultivation in greenhouses using life cycle assessment and adaptive neuro-fuzzy inference system , 2014 .

[27]  Ammar A. Farhan,et al.  A dynamic model and an experimental study for the internal air and soil temperatures in an innovative greenhouse , 2015 .

[28]  Doaa M. Atia,et al.  Analysis and design of greenhouse temperature control using adaptive neuro-fuzzy inference system , 2017 .

[29]  Abbas Rohani,et al.  Predictions of apple bruise volume using artificial neural network , 2012 .

[30]  Jean-François Balmat,et al.  Temperature control in a MISO greenhouse by inverting its fuzzy model , 2016, Comput. Electron. Agric..