Energy-saving control of agriculture biotic environment

Greenhouse is the most typical agriculture biotic environment and also a representative multi-objective complex system. Greenhouse microclimate environment control aims to not only construct a comfortable environment for plants but also save energy as possible. Traditional approaches only take into account constructing a fitting artificial environment with accuracy point objectives without considering energy saving. This leads to the controller consume much energy and cannot be adopted in practical project. In this paper, according to the compatible theory, a new greenhouse controller design method is presented, which creates all appropriate artificial environment and at the same time remarkably lessens energy consumption. Compared with traditional design methods, compatible control method adds tire compatibility optimization among different objectives. The compatible optimization bases on the mathematical model and constraints of the greenhouse. The controller design adopts adaptive fuzzy predicted control method. Simulation and practical application expound the merit.