DocumentCode
1751619
Title
Nonlinear feedback control of stable processes
Author
Kanter, Joshua M. ; Seider, Warren D. ; Soroush, Masoud
Author_Institution
Dept. of Chem. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Volume
5
fYear
2001
fDate
2001
Firstpage
3624
Abstract
Nonlinear control laws are presented for input-constrained, multiple-input, multiple-output processes, whether their delay-free part is minimum- or non-minimum-phase. This study addresses the nonlinear control of the input-constrained processes by exploiting the connections between model-predictive control and input-output linearization. The continuous-time control laws are constrained optimization problems that are solved online. They minimize the error between controlled outputs and their reference trajectories. Their application and performance are illustrated using a chemical reactor example that exhibits nonminimum-phase behavior
Keywords
MIMO systems; continuous time systems; control system synthesis; feedforward; linearisation techniques; nonlinear control systems; optimisation; predictive control; process control; state feedback; MIMO systems; chemical reactor; continuous-time systems; feedforward; input-output linearization; model-predictive control; nonlinear control systems; optimization; process control; state feedback; Chemical engineering; Chemical reactors; Constraint optimization; Delay; Error correction; Feedback control; MIMO; Predictive control; Predictive models; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2001. Proceedings of the 2001
Conference_Location
Arlington, VA
ISSN
0743-1619
Print_ISBN
0-7803-6495-3
Type
conf
DOI
10.1109/ACC.2001.946197
Filename
946197
Link To Document