Polymer grade transition control using advanced real-time optimization software

✍ Scribed by Selwa BenAmor; Francis J. Doyle III; Randall McFarlane

• Book ID: 104026713
• Publisher: Elsevier Science
• Year: 2004
• Tongue: English
• Weight: 411 KB
• Volume: 14
• Category: Article
• ISSN: 0959-1524
• DOI: 10.1016/j.jprocont.2003.06.001

✦ Synopsis

This paper describes the application of an industrial real-time optimization package (ROMeo 1 ) to the nonlinear model predictive control (NLMPC) of a simulated polymer grade transition. The NLMPC algorithm is formulated using orthogonal collocation to integrate the model equations, and sequential quadratic programming to solve the resulting nonlinear programming problem. A receding horizon estimation scheme and, separately, a Luenberger observer are designed to reconstruct unmeasured states. The resulting algorithm is demonstrated on two simulated polymerization case studies: (i) continuous methyl methacrylate and (ii) gas-phase polyethylene.