Model Predictive Control of Paper Quality Parameters, 2007 TAPPI Papermakers and PIMA International Leadership Conference

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Competitive pressures in the Paper Industry today dictate higher levels of quality and lower costs. These pressures coupled with work force reductions and a retiring experience base has made managing today’s complex paper manufacturing process a challenge. Even the most seasoned machine tender finds it difficult to simultaneously manage speed, moisture, weight, refining, rush/drag, additives, calendaring and other machine variables in order to simultaneously control caliper, MD & CD tensile strength, Mullen and/or STFI, stretch, smoothness, sizing, and the plethora of other quality parameters. With the use of multivariable predictive control algorithms along with predictive multivariate models, these complex interactions can be modeled and automatically controlled to optimum levels.