Greenhouse Climate Fuzzy Adaptive Control Considering Energy Saving

다국어 초록 (Multilingual Abstract)

This paper proposes a fuzzy adaptive control approach to solve greenhouse climate control problem. Theaim is to ensure the controlled environmental variables to track their desired trajectories so as to create a favorableenvironment for crop growth. In this method, a feedback linearization technique is first introduced to derive thecontrol laws of heating, fogging and CO2 injection, then to compensate for the saturation of the actuators, a fuzzylogic system (FLS) is used to approximate the differences between controller outputs and actuator outputs due toactuator constraints. A robust control term is introduced to eliminate the impact of external disturbances and modeluncertainty, and finally, Lyapunov stability analysis is performed to guarantee the convergence of the closed-loopsystem. Taking into account the fact that the crop is usually insensitive to the change of the environment insidethe greenhouse during a short time interval, a certain amount of tracking error of the environmental variables isusually acceptable, which means that the environmental variables need only be driven into the corresponding targetintervals. In this case, an energy-saving management mechanism is designed to reduce the energy consumption asmuch as possible. The simulation results illustrate the effectiveness of the proposed control scheme.

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