Real-time feasibility of nonlinear predictive control for large scale processes-a case study

Zoltan Nagy, Rolf Findeisen, Moritz Diehl, Frank Allgower, H. Georg Bock, Serban Agachi, Johannes P. Schloder, Daniel Leineweber

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Abstract

Despite many control theoretic and numerical advances, up to now there is no realistic feasibility study of modern nonlinear model predictive control (NMPC) schemes for the real-time control of large-scale processes. In this paper the application of NMPC to a nontrivial process control example, namely the control of a high-purity binary distillation column, is considered. Using models of different complexity and different control schemes, the computational load, resulting closed loop performance and the effort needed to design the controllers is compared. It is shown that a real-time application of modern NMPC schemes is feasible with existing techniques, even for a 164/sup th/ order model with a sampling time of 30 s, if a state of the art dynamic optimization algorithm and an efficient NMPC scheme are used.

Original languageEnglish
Article number877022
Pages (from-to)4249-4253
Number of pages5
JournalProceedings of the American Control Conference
Volume6
DOIs
Publication statusPublished - Jan 1 2000

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Nagy, Z., Findeisen, R., Diehl, M., Allgower, F., Bock, H. G., Agachi, S., Schloder, J. P., & Leineweber, D. (2000). Real-time feasibility of nonlinear predictive control for large scale processes-a case study. Proceedings of the American Control Conference, 6, 4249-4253. [877022]. https://doi.org/10.1109/ACC.2000.877022