Trouble shooting and performance audit for a multivariable control system: an industrial case study

Author

Kadali, Ramesh ; Huang, Bio

Author_Institution

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

Volume

3

fYear

1999

fDate

9-12 May 1999

Firstpage

1570

Abstract

This case study is concerned with the application of statistical data analysis and model identification techniques in the de-bottlenecking of an industrial problem. The distillation column, which has a model predictive controller (MPG), frequently gets flooded when the advanced controller is on and hence the operator has to turn off the advanced controller which results in substantial decrease in the production rate. This case study focuses on several aspects of the trouble shooting: inferential model validation, cross-correlation analysis between the observation variable and inferential variable, and the performance analysis of the MPC controller.

Keywords

control system analysis; distillation; identification; multivariable control systems; predictive control; process control; statistical analysis; advanced controller; cross-correlation analysis; distillation column; inferential model validation; model identification techniques; model predictive controller; performance analysis; performance audit; statistical data analysis; trouble shooting; Chemical industry; Computer aided software engineering; Control systems; Distillation equipment; Electrical equipment industry; Floods; Industrial control; Performance analysis; Predictive models; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on

Conference_Location

Edmonton, Alberta, Canada

ISSN

0840-7789

Print_ISBN

0-7803-5579-2

Type

conf

DOI

10.1109/CCECE.1999.804946

Filename

804946