Research Of Multivariable Fuzzy Control System In Greenhouse

This article takes the intelligent greenhouse as the research object and conducts the research about the intelligent greenhouse control algorithm. The greenhouse environment system is a multivariable big inertial nonlinear system, also has the junction company phenomenon and time lag. It is very difficult to establish mathematical model and use the classics control method or the modern control method in this system. Based on this kind of situation, the method of artificial intelligence is adopted. The fuzzy control is an important branch of the artificial intelligence. It does not need to establish Precisely mathematical model about the controlled object. It is good at system robust and it is Suitable to the nonlinear and time lag system. Fuzzy control algorithm is applied in this article. After MATLAB simulation, the schedule used in fuzzy control is produced finally. The simulation result indicates that the fuzzy control algorithm obviously surpasses the tradition control method. It has advantage in decreasing time, strengthening the stability and improving the compatibility. The anticipated control effect can be achieved by this way. The algorithm can be done by software. It is advantageous for saving the cost and the expansion. The EDA(Electronic design automation )technology is applied in hardware design. It is superior to debugging and the expansion. It can bring good economic efficiency in large produce.