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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.228
