Robust Multi-Parametric Control of Continuous-Time Linear Dynamic Systems

被引：0

作者：

Sun, Muxin ^{[1
,2
]}

Villanueva, Mario E. ^{[2
]}

Pistikopoulos, Efstratios N. ^{[2
]}

Chachuat, Benoit ^{[1
]}

机构：

[1] Imperial Coll London, Ctr Proc Syst Engn, Dept Chem Engn, London SW7 2AZ, England

[2] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Robust model predictive control; Constrained linear-quadratic regulation; Multi-parametric programming; Multi-parametric NCO-tracking; MODEL-PREDICTIVE CONTROL; OPTIMIZATION; UNCERTAINTY; DESIGN;

D O I：

10.1016/j.ifacol.2017.08.690

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We extend a recent methodology called multi-parametric NCO-tracking for the design of parametric controllers for continuous-time linear dynamic systems in the presence of uncertainty. The approach involves backing-off the path and terminal state constraints based on a worst-case uncertainty propagation determined using either interval analysis or ellipsoidal calculus. We address the case of additive uncertainty, and we discuss approaches to handling multiplicative uncertainty that retain tractability of the mp-NCO-tracking design problem, subject to extra conservatism. These developments are illustrated with the case study of a fluidized catalytic cracking (FCC) unit operated in partial combustion mode. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：4660 / 4665

页数：6

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