A new optimization algorithm with application to nonlinear MPC

被引：57

作者：

Martinsen, F

Biegler, LT

Foss, BA ^{[1
]}

机构：

[1] Norwegian Univ Sci & Technol, NTNU, Dept Engn Cybernet, N-7491 Trondheim, Norway

[2] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA

来源：

JOURNAL OF PROCESS CONTROL | 2004年 / 14卷 / 08期

关键词：

model predictive control; optimization; SQP; feasibility;

D O I：

10.1016/j.jprocont.2004.02.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates application of SQP optimization algorithms to nonlinear model predictive control. It considers feasible vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs. full space methods. A new optimization algorithm coined rFOPT which remains feasibile with respect to inequality constraints is introduced. The suitable choices between these various strategies are assessed informally through a small CSTR case study. The case study also considers the effect various discretization methods have on the optimization problem. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：853 / 865

页数：13

共 29 条

[1]

Ascher U. M., 1995, Numerical solutions of boundary value problems for ordinary differential equations

[2]

Barclay A, 1998, INT SER NUMER MATH, V124, P207

[3]

BETTS JT, 2001, ADV DESIGN CONTROL S

[4] Advances in simultaneous strategies for dynamic process optimization [J].