Constrained Nonlinear Predictive Control for Maximizing Production in Polymerization Processes
作者： Mazen Alamir , Nida Sheibat-Othman , Sami Othman
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摘要: In this brief, a new constrained nonlinear predictive control scheme is proposed for maximizing the production in polymerization processes. The key features of feedback strategy are its ability to rigorously handle process constraints (input saturation, maximum allowed heat production, maximal temperature values, and rate change) as well real time implementability due low dimensional parametrization being used. Simulations show efficiency robustness model uncertainties. controller performance also validated experimentally on laboratory scale reactor emulsion styrene
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