In terms of systems theory, the greenhouse represents a complex nonlinear system with emphasized subsystem interactions. System decoupling is used in order to obtain simplified control structures for independent control loops. This gives limited results because of the strong interaction between system variables. Such system does not allow system behaviour optimization primarily in terms of energy efficiency and/or water consumption. This paper presents a design of fuzzy logic based controller, which optimizes the Greenhouse heating, energy and water consumption. The design includes the main linguistic variables for sensors and actuators. Membership functions of Fuzzy Inference System (FIS) are generated and simulation and analysis of the behaviour of the designed control system is performed.
Fuzzy control, Protected Cultivation, Agriculture, Complex Systems, Energy Efficiency, Water Management, Inference Engines, System Integration
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