Robust multivariable predictive control: application to an industrial test stand

Author

Vaucoret, Cyril ; Bordeneuve-Guibé, Joël

Author_Institution

ENSICA, Toulouse, France

Volume

1

fYear

1998

fDate

1-4 Sep 1998

Firstpage

326

Abstract

This paper reports a theoretical extension of multivariable predictive control (MPC). The robustness of an augmented algorithm (α-MPC) for a general M-input N-output system is explored. It is shown that an extra parameter α in the criterion function can reduce the H_∞-norm of the multivariable sensitivity function, thus improving the disturbance-rejection properties of the closed loop system. This control law is finally applied to a test stand for air conditioning equipment of aircraft with a great improvement of performances regarding the former regulation

Keywords

H^∞ control; MIMO systems; closed loop systems; control system analysis; multivariable control systems; predictive control; production testing; robust control; sensitivity analysis; H_∞-norm; MIMO systems; air conditioning equipment; aircraft; closed loop system; disturbance-rejection; industrial test stand; multivariable control systems; predictive control; robust control; robustness; sensitivity analysis; Air conditioning; Closed loop systems; Control systems; Delay effects; Electrical equipment industry; Industrial control; Predictive control; Robust control; Robustness; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Trieste

Print_ISBN

0-7803-4104-X

Type

conf

DOI

10.1109/CCA.1998.728435

Filename

728435