|Greenhouse Climate Fuzzy Adaptive Control Considering Energy Saving
Yuanping Su, Lihong Xu*, and Erik D. Goodman
International Journal of Control, Automation, and Systems, vol. 15, no. 4, pp.1936-1948, 2017
Abstract : "This paper proposes a fuzzy adaptive control approach to solve greenhouse climate control problem. The
aim is to ensure the controlled environmental variables to track their desired trajectories so as to create a favorable
environment for crop growth. In this method, a feedback linearization technique is first introduced to derive the
control laws of heating, fogging and CO2 injection, then to compensate for the saturation of the actuators, a fuzzy
logic system (FLS) is used to approximate the differences between controller outputs and actuator outputs due to
actuator constraints. A robust control term is introduced to eliminate the impact of external disturbances and model
uncertainty, and finally, Lyapunov stability analysis is performed to guarantee the convergence of the closed-loop
system. Taking into account the fact that the crop is usually insensitive to the change of the environment inside
the greenhouse during a short time interval, a certain amount of tracking error of the environmental variables is
usually acceptable, which means that the environmental variables need only be driven into the corresponding target
intervals. In this case, an energy-saving management mechanism is designed to reduce the energy consumption as
much as possible. The simulation results illustrate the effectiveness of the proposed control scheme."
Adaptive control, energy management, fuzzy logic system, greenhouse climate control.