Ventilation control model for temperature and humidity environment in greenhouse based on ANFIS
GE Jian-Kun, WANG Shun-Sheng, LUO Jin-Yao
(1. Institute of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, Henan 450011, China; 2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China)
Abstract:To regulate the temperature and humidity environment in greenhouse by controlling vent opening intellectively, on the principle of thermal balance and water vapor quality balance, two nonlinear differential models for air temperature and humidity inside greenhouse respectively were constructed. Based on ANFIS, with trapezoid and Gaussian membership functions respectively, two fuzzy controllers for greenhouse ventilation control were set up, including choosing variables, quantifying the domain, defining fuzzy sets, choosing membership functions and controller training. By combining the controllers and the controlled object, with ventilation as input and greenhouse temperature as output, using Matlab, Simulink simulations were established. By applying observed data of two kinds of typical weather, the performance of two control systems was simulated and tested.The results show that, compared with the Gaussian controller, the greenhouse fuzzy controller with a trapezoid membership function is more sensitive, and has a better control effect on the indoor environment, which effectively reduces the fluctuation extent of temperature and humidity in greenhouse and optimizes control function. The research has certain reference value for the development in intelligent control of the greenhouse microclimate.
葛建坤, 汪顺生, 罗金耀. 基于ANFIS的温室微气候通风调控模型[J]. 排灌机械工程学报, 2013, 31(4): 358-363.
GE Jian-Kun, WANG Shun-Sheng, LUO Jin-Yao. Ventilation control model for temperature and humidity environment in greenhouse based on ANFIS. Journal of Drainage and Irrigation Machinery Engin, 2013, 31(4): 358-363.
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