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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received December 6, 2004
Accepted February 6, 2005
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Model Algorithmic Control of Grade Change Operations in Paper Mills

Department of Chemical Engineering, Hanyang University, Seoul 133-791, Korea 1Shinmoorim Paper Mfg. Co., Ltd., Jinju, Gyeongnam 660-722, Korea 2Hansol Paper Co., Ltd., Taedeok, Daejeon 306-230, Korea
Korean Journal of Chemical Engineering, May 2005, 22(3), 339-344(6), 10.1007/BF02719408
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Abstract

In this work, the Model Algorithmic Control (MAC) method is applied to control the grade change operations in paper mills. The neural network model for the grade change operations is identified first and the impulse model is extracted from the neural network model. Results of simulations for MAC control of grade change operations are compared with plant operation data. The major contribution of the present work is the application of MAC in the industrial plants based on the identification of neural network models. We can confirm that the proposed MAC method exhibits faster responses and less oscillatory behavior compared to the plant operation data in the grade change operations.

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