Research On Modeling And Intelligent Control Of The Venlo-Type Greenhouse

With the development of technology, facilities agriculture has been an important symbol of agricultural modernization. Modern greenhouse is one of the realization forms of facilities agriculture, which can create the most suitable environment for crops cultivated inside. In such a greenhouse, the produce period of crop can be shortened. Meanwhile the aim of high-output, high-quality, high-benefit at harvest can be reached. Because of that people pay more and more attention to it. Greenhouse's environment control is one of the key in modern greenhouse. Enhance the ability of greenhouse environmental control in order to better promote the continuous development of agricultural modernization.This thesis has analyzed both the main factor which is the temperature and humidity in Venlo-type greenhouse. Using a variety of intelligent algorithm and setting up simulation model in order to improve the control of greenhouse environment for stability and accuracy. The main research work in this article is as follows:1. Greenhouse's environment control is the base of the greenhouse climate. This paper has analyzed various exchange physical processes in the greenhouse. Meanwhile it proposed the method of the modeling taking into account the intelligent control of the greenhouse environment, based on the balance of the energy and mass. The model of the temperature and humidity is built respectively. Through simulation, it was shown that the dynamic model can provide reliable estimates of both temperature and humidity in the greenhouse.2. The fuzzy control of Venlo-type greenhouse is proposed in accordance with the physical dynamics of the greenhouse temperature model. Simulation results show the control algorithms can drive to set point values and obtain the good performance, except the little disturbance around the set point values.3. On the basis of the above research, it optimize fuzzy control's rule by using the Neural Networks. Compared with the basic fuzzy control, simulation results show that the Venlo-type greenhouse temperature control of fuzzy neural network controller can obtain the better performance. Using the Venlo-type greenhouse control system to achieve and we can see the system from the practical application which is more stable and better control.