On-line control performance monitoring of MIMO processes

Author

Huang, Biao ; Shah, Sirish L. ; Kwok, Ezra K.

Author_Institution

Dept. of Chem. Eng., Alberta Univ., Edmonton, Alta., Canada

Volume

2

fYear

1995

fDate

21-23 Jun 1995

Firstpage

1250

Abstract

The main purpose of this paper is to introduce a new method of control loop performance analysis of the closed-loop MIMO process. This new approach is based on filtering and subsequent correlation (FCOR) analysis of the output and the filtered data. The steps required in the implementation of the FCOR algorithm are: (i) estimation of the time delay or the interactor matrix of the MIMO system and (ii) evaluation of control performance with MIMO minimum variance control as a benchmark standard. The proposed algorithm is evaluated by application to a simulated and an industrial process

Keywords

MIMO systems; closed loop systems; control system analysis; correlation methods; filtering theory; monitoring; performance index; MIMO minimum variance control; closed-loop MIMO process; control loop performance analysis; correlation analysis; filtering; industrial process; interactor matrix; online control performance monitoring; time delay estimation; Chemical engineering; Control systems; Delay effects; Filtering; Filters; MIMO; Monitoring; Performance analysis; Transfer functions; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.520950

Filename

520950