Design of Robust Input-Constrained Feedback Controllers for Nonlinear Systems

被引:0
|
作者
Munoz, Diego A. [1 ]
Marquardt, Wolfgang [2 ]
机构
[1] Univ Pontificia Bolivariana, Ctr Ciencia Basica, Optimizat Matemat Proc OPTIMO, Circular 1,70-01, Medellin, Colombia
[2] Rhein Westfal TH Aachen, Aachener Verfahrenstech, Proc Syst Engn, Templergraben 56, D-52056 Aachen, Germany
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 18期
关键词
input saturation; MIMO; robustness; bounded disturbances; uncertainty; transient stability; semi-infinite optimization; MODEL-PREDICTIVE CONTROL; GLOBAL OPTIMIZATION; STABILIZATION;
D O I
10.1016/j.ifacol.2018.09.276
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 work contributes to the optimal design of closed-loop nonlinear systems with input saturation in the presence of unknown uncertainty. Stability conditions based on contractive constraints were developed for a general class of nonlinear systems under some Lipschitz assumptions. Closed-loop robust stability and robustly optimal performance can be guaranteed in the presence of input bounds, if the solution of the design problem, formulated as a nonlinear semi-infinite program (SIP) with differential equation constraints, can be guaranteed to be feasible. In this work, the SIP is solved by means of a local reduction approach, which requires a local representation of the so-called lower level problems associated with the SIP. The suggested design method is illustrated by means of chemical reactor control problem. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:732 / 737
页数:6
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