Abstract

Rational utilization of greenhouse environment control technology can greatly increase crop yield, improve product quality, realize the agricultural production, increasing farmers' income. For greenhouse nonlinear, time-varying, time delay and multivariable coupling problem, the temperature, humidity, light intensity and the concentration of our fleet, and other factors affecting the analysis, the fuzzy inference is applied to the control systems of greenhouse environment, and transforms expert experience and knowledge behavior into the corresponding fuzzy control rules; combined with theory of PID, and temperature and humidity as control variable fuzzy PID system is established. The simulation results show that the system response speed, strong anti-jamming capability, combined with theory of PID, it has a better control effect on the temperature and humidity in the greenhouse environment, and provide some reference for the design of intelligent greenhouse automatic control system.

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