DocumentCode :
1828099
Title :
Design and application of intelligent control system for greenhouse environment based on CAN bus
Author :
Yun Du ; Zengtao Xue ; Quanmin Zhu ; Xin Liu ; Yuanzhuo Feng ; Suying Zhang
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2013
fDate :
Aug. 31 2013-Sept. 2 2013
Firstpage :
322
Lastpage :
327
Abstract :
An intelligent greenhouse control system based on CAN bus has been designed to meet the needs of vegetables greenhouse. Aiming at the characteristics including multi-parameters, time-delay, multi-disturbance and uncertain model structure, environmental factors model data processing as the same structure and the environmental parameters model designing in general rules are proposed in this paper. Independent parts such as main control cell and intelligent nodes compose a distributed control system by CAN bus. According to the change roll of temperature the system realized the human simulated intelligent control of regulation and management by using fuzzy controlling algorithm. Experimental results show that the designed greenhouse intelligent control system has many merits such as simple circuitry, stable performance, economy, convenience and versatility, and the agriculture greenhouse management level and the production quality are improved, so this system is worthy of spreading.
Keywords :
control engineering computing; controller area networks; delays; distributed control; fuzzy control; greenhouses; intelligent control; stability; CAN bus; agriculture greenhouse management level; distributed control system; environmental factors model data processing; environmental parameters model; fuzzy controlling algorithm; greenhouse environment; human simulated intelligent control; intelligent greenhouse control system; multidisturbance; multiparameters; production quality; stable performance; time-delay; uncertain model structure; vegetables greenhouse; Green products; Soil; Water heating; CAN bus; Intelligent greenhouse; designing in general rule; environmental factors; fuzzy control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9
Type :
conf
Filename :
6642207
Link To Document :
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