A Novel Greenhouse Control System Based on Fuzzy Neural Network

Abstract:

Due to the complexity of greenhouse environment, greenhouse system cannot be controlled perfectly by traditional control method. This paper proposes a novel greenhouse control system based on fuzzy neural network to regulate the internal climate of the greenhouse. Temperature and humidity are selected as the inputs of controller, while the skylight, sun-shade net, circulation fan, side windows, fuel heater, and micro-mist humidifier are selected as the outputs. After analyzing every situation that may occur in the control process and the corresponding control strategies, we obtain 35 control “IF-THEN” rules. Simulation results show that the fuzzy neural network controller have certain improvements than the conventional PID controller in the aspects of overshoot, stability and response time.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 415-418
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.415
• Online since: October 2014
• Authors: Xin Yi Zhang*
• Keywords: Controller, Fuzzy Neural Network, Greenhouse Control, Humidity, Temperature

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