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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 14 | Page No.: 1662-1665
DOI: 10.3923/jas.2014.1662.1665
 
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Design and Analysis of Generalized Predictive Control for Moisture Content Control in a Benchmark Paper Plant

M. Sainabha, N. Muthukumar , K. Ramkumar and G. Balasubramanian

Abstract:
The role of advanced control techniques for an energy intensive chemical process like paper industries is indispensable. The quality of the end product depends entirely on the efficiency and disturbance managing capacity of the control techniques. In this background the role of Model predictive control as a constraint handling as well as quality assuring tool has to be studied. In this study, two different model predictive controller techniques namely Dynamic Matrix Control (DMC) and Generalized Predictive Controller (GPC) is considered. The controllers are suitably designed for controlling the moisture level for a bench marked paper machine model. The servo performance of the DMC and GPC controllers under unconstrained environment is studied for and the results are tabulated in this study. The study reveals that the Dynamic matrix controller (DMC) provides better performance than the Generalized Predictive Controller (GPC).
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How to cite this article:

M. Sainabha, N. Muthukumar , K. Ramkumar and G. Balasubramanian , 2014. Design and Analysis of Generalized Predictive Control for Moisture Content Control in a Benchmark Paper Plant. Journal of Applied Sciences, 14: 1662-1665.

DOI: 10.3923/jas.2014.1662.1665

URL: https://scialert.net/abstract/?doi=jas.2014.1662.1665

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