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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Abbreviations
- A0 :
-
unit matrix
- Bi :
-
impulse parameter matrix
- bi,j k :
-
impulse parameter element in Bi matrix
- Hpl, Hmi :
-
dynamic matrix
- Qo :
-
output weighting
- R:
-
input weighting
- t:
-
time
- Upl :
-
future input
- Umi :
-
past input
- uspeed :
-
speed [m/min]
- ustock :
-
thick stock [L/min], [m3/min]
- ufiller :
-
filler flow [L/min]
- usteam :
-
steam pressure [kg/cm2]
- /^nk :
-
noise
- w:
-
desired output trajectory
- yk :
-
measured output
- ŷk :
-
predictive output
- α:
-
parameter in desired output trajectory
- γ:
-
setpoint
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Yeo, YK., Park, J.H., Park, SH. et al. Model algorithmic control of grade change operations in paper mills. Korean J. Chem. Eng. 22, 339–344 (2005). https://doi.org/10.1007/BF02719408
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DOI: https://doi.org/10.1007/BF02719408