Title :
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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.520950
