Fuzzy modeling and control of basis weight of paper using simulink
Anamika Bhatia, Manik Bansal, S. Mukherjee · 2009
This present paper is an efficient solution to control the basis weight of paper in pulp and paper industry using a fuzzy logic controller. The traditional systems are based on operator's experience and data provided by the mill. The decision of the operator is not exact but good enough or appropriate. Fuzzy Logic offers a promising solution to this conceptual design through fuzzy modeling. Fuzzy logic control systems, as is known, are designed with the intension of replacing an expert human operator with an automated ruled-based system. In this paper, simulation tools have been reviewed and the output of the system is analyzed by simulation for basis weight control.