Title :
A model-based control method applicable to unstable, non-minimum-phase, nonlinear processes
Author :
Panjapornpon, Chanin ; Soroush, Masoud ; Seider, Warren D.
fDate :
June 30 2004-July 2 2004
Abstract :
This paper presents a nonlinear control system that is applicable to stable and unstable processes, whether non-minimum- or minimum-phase. The closed-loop stability is ensured by forcing every process state variable to follow a desired linear response. This approach results in a nonlinear state feedback that induces approximately linear responses to the state variables. The control system includes the nonlinear state feedback and a reduced-order nonlinear state observer. The application and performance of the control system are shown by implementing it on a chemical reactor with multiple steady states. The control system is used to operate the reactor at one of the steady states, which is unstable and non-minimum-phase. The simulation results show that the closed-loop system is asymptotically stable for all physically-meaningful initial conditions.
Keywords :
asymptotic stability; chemical reactors; closed loop systems; nonlinear control systems; observers; process control; reduced order systems; state feedback; asymptotic stability; chemical reactor; closed loop stability; model based control method; nonlinear control system; nonlinear process control; nonlinear state feedback; nonminimum phase process control; reduced order nonlinear state observer; unstable process control;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4