A simplified constrained multivariable controller with steady-state optimization

Author

Dai, Liankui ; Wang, Yang

Author_Institution

Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2002

fDate

2002

Firstpage

1380

Abstract

A simplified MIMO constrained controller is proposed. Based on the steady-state prediction of system outputs, the controller combines steady-state optimization and dynamic control calculations. A quadratic programming approach is employed to find an optimal feasible solution. The controller is applied to the Shell benchmark problem. Compared with DMC-LP^® controller, the simulation results show that the new controller not only achieves good control performance, but also costs less in computation time.

Keywords

MIMO systems; asymptotic stability; chemical technology; multivariable control systems; predictive control; process control; quadratic programming; DMC-LP controller; MIMO constrained controller; Shell benchmark problem; Shell process control problem; dynamic control; heavy oil fractionator; quadratic programming; simplified constrained multivariable controller; steady-state optimization; steady-state prediction; Computational efficiency; Constraint optimization; Control systems; Industrial control; MIMO; Optimal control; Partial response channels; Predictive models; Quadratic programming; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1020807

Filename

1020807