Performance monitoring and diagnosis of multivariable model predictive control using statistical analysis

Chinese Journal of Chemical Engineering

Volumn 14, Issue 2, 2006, Pages 207-215

  Zhang, Qiang ^a   Li, Shaoyuan ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Diagnosis; Performance monitoring; Predictive control; Principal component analysis

Indexed keywords

COMPUTER SIMULATION; CONTROL EQUIPMENT; DIAGNOSIS; HEAVY OIL PRODUCTION; MONITORING; PERFORMANCE; PREDICTIVE CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL;

CHEMICAL PROCESS CONTROL; PERFORMANCE MONITORING;

CHEMICAL ENGINEERING;

EID: 33745639668     PISSN: 10049541     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1004-9541(06)60060-8     Document Type: Article

References (24)

1. Ender, D., Process control performance: Not as good as you think, Control Eng., 9, 180-190(1993).
2. Astrom, K., Computer control of a paper machine-An application of linear stochastic control theory, IBM J., 7, 389-396(1967).
3. DeVries, W.R., Wu, S.M., Evaluation of process control effectiveness and diagnosis of variation in paper basis weight via multivariate time series analysis, IEEE Trans. Auto. Control, 23(4), 702-708(1978).
4. Huang, B., Shah, S.L., Performance Assessment of Control Loops: Theory and Applications, Springer (1999).
5. Harris, T.J., Seppala, C.T., Desborough, L.D., A review of performance monitoring and assessment techniques for univariate and multivariate control systems, J. Proc. Control, 9, 1-17(1999).
6. Harris, T.J., Seppala, C.T., Recent developments in controller performance monitoring and assessment techniques In: Proceedings of the Sixth International Chemical Process Control Conference (CPC-VI), Tucson, Arizona, 220-250(2001).
7. Qin, S.J., Control performance monitoring: A review and assessment, Comp. Chem. Eng., 23, 173-186(1998).
8. Harris, T.J., Boudreau, F., MacGregor, J.F., Performance assessment of multivariable feedback controllers, Automatica, 32, 1505-1518(1996).
9. Huang, B., Shah, S.L., Kwok, K.E., Good, bad or optimal? Performance assessment of multivariable processes, Automatica, 6, 1175-1183(1997).
10. Ko, B.S., Edgar, T.F., Performance assessment of cascade control loops, AIChE J, 46, 281-291 (2000).
11. Horch, A., Isaksson, A.J., A modified index for control performance assessment, J. Proc. Control, 9, 475-483(1999).
12. Thornhill, N.F., Oettinger, M., Refinery-wide control loop performance assessment, J. Proc. Control, 9, 109-124(1999).
13. Julien, R.H., Foley, M.W., Cluett, W.R. Performance assessment using a model predictive control benchmark, J. Proc. Control, 14, 441-456(2004).
14. Schafer, J., Cinar, A., Multivariable MPC system performance assessment, monitoring, and diagnosis, J. Proc. Control, 14, 113-129(2004).
15. Patwardhan, R.S., Shah, S.L., Assessing the performance of model predictive controllers, Can. J. Chem. Eng., 80, 954-966(2002).
16. Garcia, C.E., Prett, D.M., Morari, M., Model predictive control: Theory and practice-A survey, Automatica, 25, 335-348(1989).
17. Ku, W., Storer, R.H., Georgakis, C., Disturbance rejection and isolation by dynamic principal component analysis, Chemom. Intell. Lab. Sys., 30, 179-196(1995).
18. Kruger, U., Zhou, Y., Irwin, G.W., Improved principal component monitoring of large-scale processes, J. Proc. Control, 879-888(2004).
19. Ljung, L., System Identification, 2nd ed., Englewood Cliffs, NJ: Prentice-Hall (1998).
20. Jackson, J.E., A User's Guide to Principal Components, Wiley, New York (1991).
21. Patwardhan, R.S., Huang, B., Multivariate controller performance analysis: Methods, applications and challenges, In: Proceedings of the Sixth International Chemical Process Control Conference (CPC-VI), Tucson, Arizona, 187-219(2001).
22. Basseville, M., On-board component fault detection and isolation using the statistical local approach, Automatica, 34(11), 1391-1415(1998).
23. Huang, B., Multivariable model validation in the presence of time-variant disturbance dynamics, Chem. Eng. Sci., 55, 4583-4595(2000).
24. Prett, D., Morari, M., Shell control problem, Shell Process Control Workshop, Butterworth Publishers, Stoneham, MA, 355-360(1987).