Analysis and design of greenhouse temperature control using adaptive neuro-fuzzy inference system

• Main Authors: Doaa M. Atia, Hanaa T. El-madany
• Format: Article
• Language: English
• Published: SpringerOpen 2017-05-01
• Series: Journal of Electrical Systems and Information Technology
• Subjects: Artificial intelligent; Control; Artificial neural network; Fuzzy logic control; Adaptive neuro-fuzzy
• Online Access: http://www.sciencedirect.com/science/article/pii/S2314717216300952

The greenhouse is a complicated nonlinear system, which provides the plants with appropriate environmental conditions for growing. This paper presents a design of a control system for a greenhouse using geothermal energy as a power source for heating system. The greenhouse climate control problem is to create a favourable environment for the crop in order to reach predetermined results for high yield, high quality and low costs. Four controller techniques; PI control, fuzzy logic control, artificial neural network control and adaptive neuro-fuzzy control are used to adjust the greenhouse indoor temperature at the required value. MATLAB/SIMULINK is used to simulate the different types of controller techniques. Finally a comparative study between different control strategies is carried out.