Based On The Variable Universe Fuzzy Controller Of The Greenhouse Temperature Control

Agriculture is the foundation of the development of a country, and the technology offacility agriculture greenhouse is the representative of modern agriculture. Thetechnology of facility agriculture greenhouse is a kind of resource saving and highefficient agriculture technology, mainly in computer integrated control, create suitable forcrop growth environment, realize high quality high efficiency and low energyconsumption industrial scale production, and realize maximal economic efficiency.Considering the most important influence of the growth of economic crops on thegreenhouse temperature, so the greenhouse environment control system often uses thegreenhouse temperature for controlled object. The conventional PID do not have a verygood solution to solve the problem which the system of nonlinear, big delay, large inertiacharacteristics caused by the system response is slow, overshoot is big, anti-interferenceability is low. And the use of fuzzy and PID combination of control mode, because of itsregulations to expert knowledge to the dependence strong, the control strategy designerwho not very familiar with greenhouse canopy knowledge, is difficult to make a verygood fuzzy rules, lead to the control effect is not perfect,This thesis according to the deficiency of control strategy, adopts the variableuniverse adaptive fuzzy control method on the greenhouse temperature control. Throughthe greenhouse system model analysis, the greenhouse temperature model is simplified asa first-order large inertia and large delay system. In the Matlab software environment,write S function of the variable universe fuzzy control, building control system blockdiagram, realize the accurate control of the controlled object.First of all, on the basis of the greenhouse canopy system of conservation of energyand mass conservation law, establish the system dynamic equation. Then, by the Matlabsoftware realize the variable universe fuzzy controller design and control systemsimulation. Finally, by comparing the simulation results to verify the variable universefuzzy controller for large inertia and large delay system, in the control performance, and has a small overshoot, stronger anti-interference ability, and can be widely used indifferent delay of system control.