Comparison of self-tuning and predictive control algorithms applied to a nonlinear process

Author

Coelho, A.A.R. ; Gomes, F.J. ; Amaral, W.C. ; Yamakami, A.

Author_Institution

DEE/CT/UFPa, Para, Brazil

fYear

1989

fDate

13-15 Dec 1989

Firstpage

1058

Abstract

High-purity distillation columns present gain, time constants, and delays that vary nonlinearly, making the application of conventional controllers difficult. The behavior of linear and nonlinear self-tuning and predictive algorithms for single-input, single-output (SISO) cases applied to this class of processes is analyzed. Simulation results show that all the controllers can deal efficiently with this type of process with respect to load rejection and set-point tracking, with the predictive algorithm exhibiting the best performance

Keywords

adaptive control; distillation; nonlinear control systems; predictive control; self-adjusting systems; stability; SISO; adaptive control; distillation columns; load rejection; nonlinear control systems; nonlinear process; predictive control; self-adjusting systems; self-tuning control; set-point tracking; stability; Adaptive control; Algorithm design and analysis; Delay effects; Distillation equipment; Prediction algorithms; Predictive control; Predictive models; Process control; Steady-state; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1989., Proceedings of the 28th IEEE Conference on

Conference_Location

Tampa, FL

Type

conf

DOI

10.1109/CDC.1989.70289

Filename

70289