Design of greenhouse environment controller based on fuzzy adaptive algorithm

Author

Li Shujiang ; Li Mingye ; Wang Xiangdong

Author_Institution

Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China

fYear

2015

fDate

23-25 May 2015

Firstpage

2644

Lastpage

2647

Abstract

The greenhouse environment is a complex nonlinear time-varying system. It is difficult to establish accurate mathematical model. Adaptive fuzzy control does not rely on the mathematical model of the controlled object, and has the advantages of adaptive learning algorithm. The learning algorithm is to rely on the data information to adjust the parameters of fuzzy logic system. So we can adopt direct adaptive fuzzy control to control the greenhouse environment temperature. Through the MATLAB simulation, we simulate the control effect of fuzzy controller in different working conditions. The results show that the fuzzy adaptive controller can meet the requirements of the greenhouse environment temperature control.

Keywords

adaptive control; control system synthesis; environmental factors; fuzzy control; greenhouses; large-scale systems; learning systems; nonlinear control systems; temperature control; time-varying systems; MATLAB simulation; complex nonlinear time-varying system; data information; direct adaptive fuzzy control; fuzzy logic system; greenhouse environment controller design; learning algorithm; temperature control; Adaptation models; Agriculture; Green products; Heating; Mathematical model; Temperature; Fuzzy Adaptive Control; Temperature Control; The Greenhouse Environment;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2015 27th Chinese

Conference_Location

Qingdao

Print_ISBN

978-1-4799-7016-2

Type

conf

DOI

10.1109/CCDC.2015.7162369

Filename

7162369