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Simulation and Fuzzy Control of Greenhouse Microclimate Based on Simulink


Affiliations
1 North China University of Water Resources and Electric Power, Zhengzhou 450011, China
2 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
 

This paper deals with the problem of controlling greenhouse environment defined by the temperature and humidity. According to the thermal balance principle and water vapour quality balance principle of greenhouse, two non-linear differential models each for air temperature and humidity inside greenhouse were constructed. The corresponding fuzzy controller for greenhouse environment was set up by using the ANFIS tools of MATLAB, including the choosing of variables, quantification of the domain, definition of fuzzy sets, choosing of membership functions and controller training. After the combination between controller and the controlled object by Simulink, simulation was carried out to analyse the performance of control system. The simulation results testify the validity and reasonability of the fuzzy control strategy for the environment control in the greenhouse, and the achievement has certain reference value for the development in intelligent control of the greenhouse microclimate.

Keywords

Greenhouses, Fuzzy System, Controllers, Computer Simulation.
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  • Simulation and Fuzzy Control of Greenhouse Microclimate Based on Simulink

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Authors

Jian-kun Ge
North China University of Water Resources and Electric Power, Zhengzhou 450011, China
Shun-sheng Wang
North China University of Water Resources and Electric Power, Zhengzhou 450011, China
Jin-yao Luo
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
Zeng-jin Liu
North China University of Water Resources and Electric Power, Zhengzhou 450011, China

Abstract


This paper deals with the problem of controlling greenhouse environment defined by the temperature and humidity. According to the thermal balance principle and water vapour quality balance principle of greenhouse, two non-linear differential models each for air temperature and humidity inside greenhouse were constructed. The corresponding fuzzy controller for greenhouse environment was set up by using the ANFIS tools of MATLAB, including the choosing of variables, quantification of the domain, definition of fuzzy sets, choosing of membership functions and controller training. After the combination between controller and the controlled object by Simulink, simulation was carried out to analyse the performance of control system. The simulation results testify the validity and reasonability of the fuzzy control strategy for the environment control in the greenhouse, and the achievement has certain reference value for the development in intelligent control of the greenhouse microclimate.

Keywords


Greenhouses, Fuzzy System, Controllers, Computer Simulation.