Temperature control in a MISO greenhouse by inverting its fuzzy model

• Published in: Computers and electronics in agriculture Vol. 124; pp. 168 - 174
• Main Authors: Márquez-Vera, Marco A., Ramos-Fernández, Julio C., Cerecero-Natale, Luis F., Lafont, Frédéric, Balmat, Jean-François, Esparza-Villanueva, Jorge I.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-06-2016; Elsevier
• Subjects: Computer Science; Computer simulation; Fuzzy; Fuzzy control; Fuzzy model; Greenhouse; Greenhouses; Heating; Least squares method; Mathematical models; Systems and Control; Temperature control; Temperature regulation; Temperature regulation; Fuzzy model; Greenhouse
• ISSN: 0168-1699; 1872-7107
• DOI: 10.1016/j.compag.2016.04.005

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•It was developed a fuzzy model for a greenhouse.•The fuzzy model can be updates with recursive least squares.•The fuzzy model obtained is monotonic.•With the inversion of fuzzy model, the control actions are computed.•With the fuzzy model there are calculated the calefaction and ventilation in order to regulate the internal temperature.
This paper uses climatic measures from a greenhouse to get a fuzzy model of the internal temperature, with the fuzzy model obtained; two control actions are used to control the internal temperature. The fuzzy control is developed by using the inverted fuzzy model. Due the number of climatic variables and to the condition of having a monotonic fuzzy model, there were used two membership functions for the fuzzy partition of each variable. It was used a fuzzy singleton model which is tuned by using batch least squares and updated with recursive least squares. The control actuators are: a proportional servo-valve for the heating, it works at nights when frozen can occur, and the ventilation, it is used during the day to avoid high temperatures, these signals are excluding mutually because the humidity or hot air can be lost generating an extra cost. The greenhouse is used for tomatoes cultivation.