Title :
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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162369
