Climate Control inside a Greenhouse: An Intelligence System Approach Using Fuzzy Logic Programming

Abstract

Many conventional methods for controlling greenhouse climate are not effective since they are either based on an on-off control method or a proportional control method. As a result, losses in energy, labor, and productivity occur. To maintain a steady climate, an intelligent greenhouse climate controller was designed using fuzzy logic programming. This fuzzy logic program controller is based on the Mamdani controller in MATLAB software. The intelligent controller described in this paper effectively controls factors affecting the greenhouse climate by monitoring and adjusting the thermal system, ventilation-humidification system, thermal shading system, CO2 generation system, forced ventilation system and performance of system. An interactive graphical user interface was developed to test the controller performance manually. We determined that this intelligent controller is very user friendly, easy to design, highly adaptable, and quick performing, and takes few kilobytes of memory space.

Keywords: fuzzy logic program, greenhouse climate controller, intelligent systems approach