DocumentCode :
3042391
Title :
A case study on performance analysis and trouble shooting of an industrial model predictive control system
Author :
Kadali, Ramesh ; Huang, Biao ; Tamayo, Edgar C.
Author_Institution :
Dept. of Chem. & Mater. Eng., Alberta Univ., Edmonton, Alta., Canada
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
642
Abstract :
This paper is concerned with multivariate performance analysis and trouble shooting of an industrial distillation column model predictive control system. Control performance is analyzed through model validation of the distillation column, feed-forward and feedback control performance assessment of the existing MPC controller and multivariate analysis of variance of routine process operating data. Problems of the existing MPC controller and major disturbance sources are identified through this case study
Keywords :
control system analysis; distillation; feedback; feedforward; oil refining; predictive control; process control; statistical analysis; MPC; disturbance sources; feed-forward control performance assessment; feedback control performance assessment; industrial distillation column; industrial model predictive control system; model validation; multivariate performance analysis; performance analysis; trouble shooting; Analysis of variance; Control system synthesis; Distillation equipment; Electrical equipment industry; Feedback control; Feedforward systems; Industrial control; Performance analysis; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
ISSN :
0743-1619
Print_ISBN :
0-7803-4990-3
Type :
conf
DOI :
10.1109/ACC.1999.782907
Filename :
782907
Link To Document :
بازگشت