Abstract
An industrial application of constrained model predictive control (CMPC) to a solid-state polymerization process is presented. The system has six controlled variables and seven manipulated variables, presenting possible opportunities for economic optimization. A commercially available CMPC software package is used in the investigation. The step response model used in the software is developed from experimental plant tests. Excellent performance has been achieved in terms of servo and regulatory control and optimization.
Published Version
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