Statistical MIMO controller performance monitoring. Part I: Data-driven covariance benchmark

Journal of Process Control

Volumn 18, Issue 3-4, 2008, Pages 277-296

  Yu, Jie ^a   Qin, S Joe ^b  

^a The University of Texas at Austin   (United States)

^b University of Southern California   (United States)

Author keywords

Covariance based performance monitoring; Data driven benchmark; Generalized eigenvalue analysis; MIMO control performance monitoring; Performance subspace; Statistical inference

Indexed keywords

ASYMPTOTIC STABILITY; EIGENVALUES AND EIGENFUNCTIONS; MIMO SYSTEMS; STATISTICAL METHODS;

COVARIANCE-BASED PERFORMANCE MONITORING; DATA-DRIVEN BENCHMARK; GENERALIZED EIGENVALUE ANALYSIS; MIMO CONTROL PERFORMANCE MONITORING; PERFORMANCE SUBSPACE; STATISTICAL INFERENCE;

CONTROL EQUIPMENT;

EID: 40749104269     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2007.06.002     Document Type: Article

References (41)

1. Anderson T.W. An Introduction to Multivariate Statistical Analysis. third ed. (2003), John Wiley and Sons, Hoboken, NJ
2. Åström K.J. Introduction to Stochastic Control Theory (1970), Academic Press, San Diego, CA
3. Bialkowski W.L. Dreams versus reality: a review from both sides of the gap. Pulp Pap. - Canada 94 (1993) 19-27
4. Desborough L., and Miller R. Increasing customer value of industrial control performance monitoring - Honeywell's experience. Chemical Process Control - CPC VI (2002), CACHE, Tuscon, AZ 169-189
5. Desborough L., and Harris T.J. Performance assessment measures for univariate feedback control. Can. J. Chem. Eng. 70 (1992) 1186
6. Dunia R., Qin S.J., Edgar T.F., and McAvoy T.J. Identification of faulty sensors using principal component analysis. AIChE J. 42 (1996) 2797-2812
7. Ender D. Process control performance: not as good as you think. Control Eng. 9 (1993) 180-190
8. Ender D. Common cause of control loop cycling. Control Eng. 46 (1999) 78
9. Harris T.J. Assessment of control loop performance. Can. J. Chem. Eng. 67 10 (1989) 856-861
10. Harris T.J. Statistical properties of quadratic-type performance indices. J. Process Control 14 (2004) 899-914
11. Harris T.J., and Seppala C.T. Recent developments in controller performance monitoring and assessment techniques. Chemical Process Control - CPC VI (2002), CACHE, Tuscon, AZ 208-222
12. Harris T.J., Seppala C.T., and Desborough L.D. A review of performance monitoring and assessment technique for univariate and multivariate control systems. J. Process Control 9 (1999) 1-17
13. Harris T.J., Boudreau F., and MacGregor J.F. Performance assessment of multivariable feedback controllers. Automatica 32 11 (1996) 1505-1518
14. Hoo K.A., Piovoso M.J., Schnelle P.D., and Rowan D.A. Process and controller performance monitoring: overview with industrial applications. Int. J. Adaptive Control Signal Process. 17 (2003) 635-662
15. B. Huang, Multivariate statistical methods for control loop performance assessment, Ph.D. Thesis, University of Alberta, 1997.
16. Huang B. A pragmatic approach towards assessment of control loop performance. Int. J. Adaptive Control Signal Process. 17 (2003) 589-608
17. Huang B., and Shah S.L. The role of the unitary interactor matrix in the explicit solution of the singular lq output feedback control problem. Automatica 33 (1997) 2071-2075
18. Huang B., and Shah S.L. Practical issues in multivariable feedback control performance assessment. J. Process Control 8 (1998) 421-430
19. Huang B., and Shah S.L. Performance Assessment of Control Loops: Theory and Applications. Advances in Industrial Control (1999), Springer-Verlag, London, Great Britain
20. Huang B., Shah S.L., and Fujii H. The unitary interactor matrix and its estimation using closed-loop data. J. Process Control 7 3 (1997) 195-207
21. Huang B., Shah S.L., and Kwok E.K. Good, bad or optimal? Performance assessment of MIMO processes. Automatica 33 6 (1997) 1175-1183
22. Huang B., Shah S.L., and Miller R. Feedforward plus feedback controller performance assessment of MIMO systems. IEEE Trans. Control Syst. Technol. 8 3 (2000) 580-587
23. Ko B.S., and Edgar T.F. Performance assessment of constrained model predictive control systems. AIChE J. 47 (2001) 1363-1371
24. Kozub D.J. Controller performance monitoring and diagnosis: experiences and challenges. In: Kantor J.C., Garcia C.E., and Carnahan B.C. (Eds). Fifth Int. Conf. on Chemical Process Control (1996), AIChE and CACHE, Tahoe, CA 83-96
25. Kresta J.V., MacGregor J.F., and Marlin T.E. Multivariate statistical monitoring of processes. Can. J. Chem. Eng. 69 1 (1991) 35-47
26. Li Q., Whiteley J.R., and Rhinehart R.R. A relative performance monitor for process controllers. Int. J. Adaptive Control Signal Process. 17 (2003) 685-708
27. MacGregor J.F., and Kourti T. Statistical process control of multivariate processes. Control Eng. Pract. 3 3 (1995) 403-414
28. MacGregor J.F., Jaeckle C., Kiparissides C., and Koutoudi M. Process monitoring and diagnosis by multiblock PLS methods. AIChE J. 40 (1994) 826-838
29. C.A. McNabb, MIMO control performance monitoring based on subspace projections, Ph.D. Thesis, The University of Texas at Austin, 2002.
30. McNabb C.A., and Qin S.J. Projection based MIMO control performance monitoring - I. Covariance monitoring in state space. J. Process Control 13 8 (2003) 739-757
31. McNabb C.A., and Qin S.J. Fault diagnosis in the control invariant subspace of closed-loop systems. Ind. Eng. Chem. Res. 44 (2005) 2359-2368
32. Olaleye F.B., Huang B., and Tamayo E. Feedforward and feedback controller performance assessment of linear time-variant processes. Ind. Eng. Chem. Res. 43 (2004) 589-596
33. Paulonis M.A., and Cox J.W. A practical approach for large-scale controller performance assessment, diagnosis, and improvement. J. Process Control 13 (2003) 155-168
34. Qin S.J. Control performance monitoring - a review and assessment. Comput. Chem. Eng. 23 (1998) 178-186
35. Qin S.J. Statistical process monitoring: Basics and beyond. J. Chemomotrics 17 (2003) 480-502
36. Qin S.J., and Yu J. Recent developments in multivariable controller performance monitoring. J. Process Control 17 (2007) 221-227
37. Rinehart N., and Jury F. How control valves impact process optimization. Hydrocarbon Process. 76 (1997) 53-60
38. Seem J.E. A new pattern recognition adaptive controller with application to HVAC systems. Automatica 34 (1998) 969-982
39. J.E. Seem, An improved pattern recognition adaptive controller. In: Proceedings of the 2006 American Control Conference, Minneapolis, MN, 2006.
40. Xia H., Majecki P., Ordys A., and Grimble M. Performance assessment of MIMO systems based on I/O delay information. J. Process Control 16 (2006) 373-383
41. J. Yu, S.J. Qin, Statistical MIMO controller performance monitoring - Part II. Performance diagnosis, J. Process Control, Submitted for publication.