Computation and performance assessment of nonlinear model predictive control

被引：0

作者：

Findeisen, R ^{[1
]}

Diehl, M ^{[1
]}

Disli-Uslu, I ^{[1
]}

Schwarzkopf, S ^{[1
]}

Allgöwer, F ^{[1
]}

Bock, HG ^{[1
]}

Schlöder, JP ^{[1
]}

Gilles, ED ^{[1
]}

机构：

[1] Univ Stuttgart, Inst Syst Theory Engn, D-7000 Stuttgart, Germany

来源：

PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 | 2002年

关键词：

nonlinear model predictive control; computational feasibility; performance; multiple shooting; distillation control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we try to assess some of the computational aspects and the performance of nonlinear model predictive control (NMPC) if efficient NMPC schemes that also show good overall performance (such as quasi-infinite horizon NMPC) and tailored dynamic optimization strategies are used. After an outline of the efficient solution and formulation of the NMPC problem we consider the control of a high purity distillation column. Simulation examples and experimental results underpin that a practical application of NMPC is computationally feasible even nowadays and does lead to increased performance in comparison to existing control strategies.

引用

页码：4613 / 4618

页数：6

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