DocumentCode :
550589
Title :
Application of Multiple Models BP NN Weighting Optimal Controller in medium plate cooling process
Author :
Wang Xiaobo ; Wang Xin ; Liu Ye
Author_Institution :
Metall. Process Dept., BAOSHAN IRON & STEEL Co., Ltd., Baoshan, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
1944
Lastpage :
1949
Abstract :
In the controlled cooling process, the medium plate controlled usually contains some large scale of uncertainty on thickness. So, if only one model is utilized constantly, it can not get the satisfied precision when the thickness of the plate differs largely from the real one. In this paper, a novel Weighting Multiple Models Controller (WMMC) using multiple BP Neural Networks (BP NN) is proposed and applied. Firstly, multiple models are established according to the traits of the thickness of the plates under certain circumstance. Then the weighting parameter can be forecasted by one BP NN according to thickness zone, which is trained online, to establish the process model. Lastly, the optimal controller is presented according to the above model. Utilizing the choice of the polynomials, it not only eliminates the steady state error, but also places the poles of the closed loop system arbitrarily. The result shows that the proposed WMMC is superior to the conventional controller in plate cooling control and has wide application prospect.
Keywords :
backpropagation; closed loop systems; cooling; neurocontrollers; optimal control; plates (structures); polynomials; temperature control; thickness control; closed loop system; controlled cooling process; medium plate cooling process; multiple BP neural network; multiple model BP NN weighting optimal controller; novel weighting multiple model controller; optimal controller; Artificial neural networks; Closed loop systems; Cooling; Electronic mail; Polynomials; Process control; Laminar Cooling; Medium Plate; Multiple Bp Nn; Optimal Control; Pole Placement; Weighting Multiple Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000928
Link To Document :
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