Journal
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
Volume 15, Issue 4, Pages 1936-1948Publisher
INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
DOI: 10.1007/s12555-016-0220-6
Keywords
Adaptive control; energy management; fuzzy logic system; greenhouse climate control
Categories
Funding
- National High-Tech RAMP
- D Program of China (863 Program) [2013AA102305]
- National Nature Science Foundation of China [61174090, 61573258, 61374094]
- Science and technology research project of Jiangxi Education Department [GJJ160628]
- U.S. National Science Foundation's Beacon Center for the study of Evolution in Action [DBI-0939454]
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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.
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