Title :
Fault diagnosis of an industrial CGO coker model predictive control system
Author :
Huang, B. ; Zhao, X. ; Tamayo, E.C. ; Hanafi, A.
Author_Institution :
Dept. of Chem. & Mater. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
We report a successful fault diagnosis and trouble shooting process of an industrial model predictive control system. The approach is completely data driven. Routine closed-loop operating data is the only information required for applying such a diagnosis. The source of the problem has been attributed to inappropriate selection of the disturbance variables for the MPC controller. The problem is not unusual in industrial model predictive control systems. It is therefore recommended to carry out such analysis to other industrial MPC control systems as well.
Keywords :
control system analysis computing; fault diagnosis; multivariable control systems; oil refining; predictive control; combined gas oil coker; data driven approach; disturbance variables; industrial CGO coker; model predictive control system; trouble shooting process; Constraint optimization; Control system synthesis; Control systems; Electrical equipment industry; Fault diagnosis; Fuel processing industries; Industrial control; Predictive control; Predictive models; Voltage control;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808163
