DocumentCode
507925
Title
The Temperature Control of the Furnace Based on PID of Grey Predicting´s Neural Network
Author
Jiao-yu, Liu ; Yong-hui, Cheng ; Kun, Chen
Author_Institution
Coll. of Autom., Wuhan Univ. of Technol., Wuhan, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
460
Lastpage
463
Abstract
Furnace is a device widely used in industry, and the temperature of the furnace is a key factor for the product, but it is a physical quantity with nonlinear and long time delay. This paper adapt PID algorithm of grey predicting´s neural network to control the temperature, in this way, it eliminates the overshoot of the temperature, decreases dynamic response time, and increases the quality of the product in result.
Keywords
delays; furnaces; grey systems; neural nets; nonlinear control systems; temperature control; three-term control; PID control; furnace temperature; grey prediction; long time delay; neural network; nonlinear delay; temperature control; Computer networks; Delay effects; Error correction; Furnaces; Mathematical model; Neural networks; Prediction algorithms; Predictive models; Temperature control; Three-term control; BP neural network; grey predict;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.228
Filename
5364018
Link To Document