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How to improve process control performance

10.01.2013  |  Ruel, M.,  BBA Inc., Québec City, Québec, Canada


It is generally accepted that the health of proportional-integral-derivative (PID) loops and model predictive control (MPC) has a direct impact on a plant’s bottom line. Improved process control has been proven to reduce variability, increase product quality and yields, and reduce energy costs as well as raw material usage. The question, then, is this: How can a work process be developed to support this effort and maintain controller performance?

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