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Model Algorithmic Control for Paper Mills Using Neural Networks  

Park Jong Ho (Department of Chemical Engineering, Hanyang University)
Yeo Yeong Koo (Department of Chemical Engineering, Hanyang University)
Park See Han (Shinmoorim Paper Mfg. Co., Ltd.)
Sohn Chang Man (Hansol Paper Co., Ltd.)
Publication Information
Journal of Korea Technical Association of The Pulp and Paper Industry / v.36, no.5, 2004 , pp. 11-20 More about this Journal
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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