A Neural Network Controller for a Temperature Control Electrical Furnace

A. El Kebir(1*), A. Chaker(2), K. Negadi(3)

(1) Laboratory SCAMRE. Department of Electrical Engineering, E.N.S.E.T. Oran BP 1523 El’ M’naouer, Oran, Algeria
(2) Laboratory SCAMRE. Department of Electrical Engineering, E.N.S.E.T. Oran BP 1523 El’ M’naouer, Oran, Algeria
(3) 2Laboratoire de l'Énergie et des Systèmes Intelligents, University of Khemis Miliana, Route de Theniet El-had, 44225 Khemis Miliana, Algeria
(*) Corresponding author


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Abstract


The efficiency of a furnace depends on control a strategy The temperature controller of furnace must be complemented by a safety of heating resistances thus the necessity of robust control in order to emprove the control and maintain this temperature The neural networks have known an increasing success in various domains ,especially in process Engineering. The inverse modal neural control is the seaked method in this present paper It is noticed that this method is better for response time regulation of furnace temperature.
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Keywords


Electric Furnace; Integral Control with Compensation Poles and Zeros; Online Learning; Inverse Neural Model Control

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References


M. Mokhtari, M. Marie, Application de Matlab 5 et Simulink 2 : Contrôle de Procédés, Logique Floue, Réseaux de Neurones, Traitement du Signal Ed, Springer, 1998, pp.347-371. ISBN 2-287-59651-8.

A. Kanssab, F. Belouazani, B. Belmadani, Neural Networks Control of High Frequency Inverter for Induction–Heating Cooking, (2009) International Review of Automatic Control (IREACO), 2. (2), pp. 183-188.

L. HongXing, W. Xuetao, Z. Yinong, Internal Model Control Using Neural Network-Genetic Algorithm for Vertical Electric Furnace. Proceeding of the 2009 IEEE. International Conference on Mechtronics and Automation. August 9-12, Changchun, China pp. 1368 – 1373.

L. HongXing, L. Binzhang, Adaptive Control Using Compensatory Fuzzy Neural Network for Vertical Electric Furnace. Proceeding of the 2009 IEEE. International Conference on Information and Automation. June20 -23, Harbin, China pp. 1630 – 16335.

O. Dubois, J. Nicolas, A.Billat, Adaptive Neural Network Control of the Temperature in an Oven. Advance in Neural Networks for Control and Systems, IEEE publication date 25-27 may 1994, pp. 81 – 83.

H. Lijun, W. Zhihong, W. Xiaolei, Application of Variable Structure Neural Network Adaptive Control in Temperature Control of Carburizing Furnace. Proceeding of the 2010 IEEE. Natural Computation (ICNC 2010), vol3. Aug10 -12, pp. 1569 – 1572.

B. Widrow, M .Lehr, 30 Years of Adaptive Neural Networks: Perception, Madeline, and back propagation, Proceedings of IEEE, vol. 78, n. 9, publication year1990, pp. 1415 – 1442.

A. Errachdi, I. Saad, M. Benrejeb, On-line Identification Method Based on Dynamic Neural Network, (2010) International Review of Automatic Control (IREACO), 3. (5), pp. 474-479.

Marco Araújo, Nonlinear System Identification and Behavior Modeling, (2009) International Review of Automatic Control (IREACO), 2. (4), pp. 372-375.

J. Henrique, .A. Dourado. A Multivariable Adaptive Control Using a Recurrent Neural Network Proceedings of Eann98 - Engineering Applications of Neural Networks, Gibraltar, 9-12 June 1991, pp. 118 – 121.

A. Atig, F. Druaux, D. Lefebvre, K. Abderrahim, R. Ben Abdennour, A New Neural Adaptive Control Based on Neural Emulation of Complex Square MIMO Systems, (2010) International Review of Automatic Control (IREACO), 3 (6), pp. 612-623.

K. Hunt, D. Sbarbaro, Neural Networks for Nonlinear Internal Model Control – IEEE Proc D, vol. 138, n.5, publication year1991, pp. 431 – 438.

K. Hunt, D. Sbarbaro, R. Zbikowski, and G. Gawthrop, Neural Networks for Control Systems: A Survey Automatica, vol 28, nº 6, 1083-1112, novembre. 1992.

M. Norgaard, Neural Network Based Control System Design Toolkit, version 2, Dept of Aut, Technical University of Denmark, January 23, 2000.

M. Barrat, Y. Lécluse, J. Barrat, Exemple d’Application de la Logique Floue : Commande de la Température d’un Four, Dossier Technique de L’ingénieur L’expertise Technique de référence R7428 Date de Publication 10/07/1993.

Teng. Fei, Li. Hongxing .Adaptive Fuzzy Control for Electric Furnace. Publish in: Intelligent Computing Systems. ICIC2009. IEEE. vol. 2, 20-22 Nov.2009, pp. 439 – 443.

M. Khalid, S. Omatu, A Neural Controller for Temperature Control system- IEEE, vol. 12, issue. 3, publication year 1992, pp. 58 – 64.


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