Regular Papers

International Journal of Control, Automation and Systems 2017; 15(4): 1936-1948

Published online June 27, 2017

https://doi.org/10.1007/s12555-016-0220-6

© The International Journal of Control, Automation, and Systems

Greenhouse Climate Fuzzy Adaptive Control Considering Energy Saving

Yuanping Su, Lihong Xu*, and Erik D. Goodman

Tongji University

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."

Keywords Adaptive control, energy management, fuzzy logic system, greenhouse climate control.

Article

Regular Papers

International Journal of Control, Automation and Systems 2017; 15(4): 1936-1948

Published online August 1, 2017 https://doi.org/10.1007/s12555-016-0220-6

Copyright © The International Journal of Control, Automation, and Systems.

Greenhouse Climate Fuzzy Adaptive Control Considering Energy Saving

Yuanping Su, Lihong Xu*, and Erik D. Goodman

Tongji University

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."

Keywords: Adaptive control, energy management, fuzzy logic system, greenhouse climate control.

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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