Design of a Fuzzy Controller for the Calculation of Atmospheric Comfort in a Greenhouse

Silvestre E.O.T.; Bados J.S.F.; Villanueva J.M.A.; Rojo C.A.C.; Aburto N.J.M. · 2022 3rd International Conference on Artificial Intelligence, Robotics and Control, AIRC 2022 (2022) · DOI: 10.1109/airc56195.2022.9836977

Resumen

This article describes the design of a fuzzy controller to monitor atmospheric comfort in a greenhouse. Well-being inside a greenhouse is reflected in two significant parameters: Temperature, which ranges between 20°C and 25°C, and relative humidity, which should be around 50%. For the monitoring and control of the parameters similar above, the optimal formation of the microclimate in a greenhouse is necessary. Relative humidity and temperature calculation was performed, which helps to predict comfort by implementing a soft sensor using fuzzy logic. The objective of this research is to demonstrate the effectiveness for the automation and monitoring of artificial intelligence processes, in this case «fuzzy logic», which is based on the user experience. In addition, in this article basic electronics, programming and intermediate level knowledge in fuzzy logic were applied to obtain effective parameters for the implementation of a greenhouse control system.

Instituciones: Universidad Continental