DocumentCode :
231662
Title :
Greenhouse humidity system modeling and controlling based on mixed logical dynamical
Author :
Jiang Yongxiang ; Qin LinLin ; Qiu Quan ; Zheng Wengang ; Ma Guoqi
Author_Institution :
Beijing Res. Center of Intell. Equip. for Agric., Beijing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
4039
Lastpage :
4043
Abstract :
Greenhouse can provide a favorable growth environment, such as proper temperature, humidity and light intensity for plants. Due to the greenhouse of China having characteristics like its input and output variables being continuous and the states of control equipments being discrete, hybrid system theory is used to describe the greenhouse system. Based on the theory of mixed logical dynamical, the model of greenhouse humidity system is established in this paper, and the real-time greenhouse control can also be achieved by solving control sequence which depends on using optimization performance index. As the experiment result shows, the mixed logical dynamical model can simulate the greenhouse humidity system very well, and the optimal control based on this model can restrict the inside humidity index within a range of settings.
Keywords :
discrete systems; greenhouses; humidity control; optimal control; optimisation; control sequence; discrete control equipments state; greenhouse humidity system control; greenhouse humidity system modeling; growth environment; hybrid system theory; inside humidity index; mixed logical dynamical; optimal control; optimization performance index; real-time greenhouse control; Data models; Green products; Humidity; Mathematical model; Optimal control; Switches; Wind speed; Greenhouse; Hybrid System; Mixed Logical Dynamical; Optimal Control; System Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895614
Filename :
6895614
Link To Document :
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