Recent developments in multivariable controller performance monitoring

Journal of Process Control

Volumn 17, Issue 3, 2007, Pages 221-227

  Joe Qin, S ^a   Yu, Jie ^a  

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

Author keywords

Covariance based monitoring; MIMO control performance monitoring; Minimum variance; Model predictive control; Worst performance directions

Indexed keywords

BENCHMARKING; COMPUTATIONAL COMPLEXITY; DIAGNOSIS; PREDICTIVE CONTROL SYSTEMS; PROCESS CONTROL; STATISTICS;

COVARIANCE BASED MONITORING; MIMO CONTROL PERFORMANCE MONITORING; MINIMUM VARIANCE; MODEL PREDICTIVE CONTROL; WORST PERFORMANCE DIRECTIONS;

CONTROL SYSTEM ANALYSIS;

EID: 33846781222     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2006.11.002     Document Type: Article

References (43)

1. K.J. Åström, State of the art and needs in process identification, in: Proc. of AIChE Symp. Ser., 1976, pp. 184-194.
2. Åström K.J. Introduction to Stochastic Control Theory (1970), Academic Press, San Diego, California
3. Desborough, Lane, and Miller R. Increasing customer value of industrial control performance monitoring - Honeywell's experience. Chemical Process Control - CPC VI (2002), CACHE, Tuscon, Arizona 169-189
4. DeVries W.R., and Wu S.M. Evaluation of process control effectiveness and diagnosis of variation in paper basis weight via multivariate time-series analysis. IEEE Trans. Auto. Cont. 23 (1978) 702-708
5. Harris T.J. Assessment of control loop performance. Can. J. Chem. Eng. 67 10 (1989) 856-861
6. Harris T.J. Statistical properties of quadratic-type performance indices. J. Proc. Cont. 14 (2004) 899-914
7. Harris T.J., and Seppala C.T. Recent developments in controller performance monitoring and assessment techniques. Chemical Process Control - CPC VI (2002), CACHE, Tuscon, Arizona 208-222
8. Harris T.J., and Yu W. Analysis of multivariable controllers using degree of freedom data. Int. J. Adaptive Control Signal Process. 17 (2003) 569-588
9. 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. Proc. Cont. 9 (1999) 1-17
10. Harris T.J., Boudreau F., and MacGregor J.F. Performance assessment of multivariable feedback controllers. Automatica 32 11 (1996) 1505-1518
11. Harris T.J., and MacGregor J.F. Design of multivariable linear-quadratic controllers using transfer functions. AIChE J. 33 9 (1987) 1481-1495
12. Harris T.J., Seppala C.T., Jofriet P.J., and Surgenor B.W. Plant-wide feedback control performance assessment using an expert system framework. Control Eng. Practice 4 9 (1996) 1297-1303
13. 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
14. Horch A., and Isaksson R. A modified index for control performance assessment. J. Proc. Cont. 9 (1999) 475-483
15. B. Huang, Multivariate Statistical Methods For Control Loop Performance Assessment, Ph.D. thesis. University of Alberta, 1997.
16. 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
17. Huang B., and Shah S.L. Practical issues in multivariable feedback control performance assessment. J. Proc. Cont. 8 (1998) 421-430
18. Huang B., and Shah S.L. Performance Assessment of Control Loops: Theory and Applications. Advances in Industrial Control (1999), Springer-Verlag, London, Great Britain
19. Huang B., Shah S.L., and Kwok K.Y. Good, bad or optimal? performance assessment of MIMO processes. Automatica 33 6 (1997) 1175-1183
20. Huang B., Ding S.X., and Thornhill N. Practical solutions to multivariate feedback control performance assessment problem: reduced a priori knowledge of interactor matrices. J. Proc. Cont. 15 (2005) 573-583
21. Jelali M. An overview of control performance assessment technology and industrial applications. Control Eng. Practice 14 (2006) 441-466
22. Kadali R., and Huang B. Controller performance analysis with LQG benchmark obtained under closed loop conditions. ISA Trans. 41 (2002) 521-537
23. Kashyap R.L., and Nashburg R.E. Parameter estimation in multivariate stochastic difference equations. IEEE Trans. Auto. Cont. 19 (1974) 784
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. F. Loquasto, D. Seborg, Model predictive controller monitoring based on pattern classification and PCA, in: Proc. of ACC, vol. 3, 2003, pp. 1968-1973.
26. MacGregor J.F., and Kourti T. Statistical process control of multivariate processes. Control Eng. Practice 3 3 (1995) 403-414
27. Mayne D.Q., and Firoozan F. Linear identification of ARMA processes. Automatica 18 (1982) 461-466
28. McNabb C.A., and Qin S.J. Projection based MIMO control performance monitoring - I. Covariance monitoring in state space. J. Proc. Cont. 13 8 (2003) 739-757
29. 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
30. R. Miller, L. Desborough., C. Timmons, Citgo's experience with controller performance assessment, in: Proc. of NPRA 1998 Computer Conf., San Antonio, Texas, 1998.
31. Patwardhan P., and Shah S.L. Performance diagnostics of model based controllers. J. Proc. Cont. 12 (2002) 413-427
32. Paulonis M.A., and Cox J.W. A practical approach for large-scale controller performance assessment, diagnosis, and improvement. J. Proc. Cont. 13 (2003) 155-168
33. Peng, Youbin, and Kinnaert M. Explicit solution to the singular LQ regulation problem. IEEE Trans. Auto. Cont. 37 5 (1992) 633-636
34. M. Perrier, A. Roche, Towards mill-wide evaluation of control loop performance, in: Proc. of Control Systems '92, Whistler, British Columbia, 1992.
35. Qin S.J. Control performance monitoring - A review and assessment. Comput. Chem. Eng. 23 (1998) 178-186
36. Qin S.J. Statistical process monitoring: Basics and beyond. J. Chemometrics 17 (2003) 480-502
37. Schäfer J., and Cinar A. Multivariable MPC system performance assessment, monitoring, and diagnosis. J. Proc. Cont. 14 (2004) 113-129
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: Proc. of the 2006 American Control Conf., Minneapolis, MN, 2006.
40. Seppala C.T., Harris T.J., and Bacon D.W. Time series methods for dynamic analysis of multiple controlled variables. J. Proc. Cont. 12 (2002) 257-276
41. Thornhill N.F., and Horch A. Advances and new directions in plant-wide controller performance assessment. ADCHEM 2006 (2006), IFAC, Gramado, Brazil 29-36
42. Thornhill N.F., Oettinger M., and Fedenczuk M.S. Refinery-wide control loop performance assessment. J. Proc. Cont. 9 (1999) 109-124
43. B. Weinstein, A sequential approach to the evaluation and optimization of control system performance, in: Proc. of 1992 ACC, Chicago, 1992, pp. 2354-2358.