Detection and diagnosis of oscillation in control loops

Control Engineering Practice

Volumn 5, Issue 10, 1997, Pages 1343-1354

  Thornhill, N F ^a   Hagglund T ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b LUND INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

control loop; fault diagnosis; performance analysis; power spectra; valve friction

Indexed keywords

CONTROL LOOPS; OSCILLATION DETECTION AND DIAGNOSIS;

FRICTION; OSCILLATIONS; VALVES (MECHANICAL);

FEEDBACK CONTROL;

EID: 0342617639     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(97)00131-7     Document Type: Article

References (24)

1. Anand, D.K. (1984). Introduction to control systems. Pergamon, Oxford, UK.
2. Åström, K.J. (1991). Assessment of achievable performance of simple feedback loops. Int. J. Adap. Control and Sig. Proc. 5, 3-19.
3. Cook, P.A., (1986). Nonlinear dynamical systems. Prentice-Hall International, London.
4. Desborough, L. and T. Harris (1992). Performance assessment measures for univariate feedback control. Can. J. Chem. Eng., 70, 1186-1197.
5. Ender, D.B. (1993). Process control performance: Not as good as you think. Control Engineering (Sept), 180-190.
6. Hägglund, T. (1995). A control-loop performance monitor. Control Eng. Practice, 3, 1543-1551.
7. Harris, T.J. (1989). Assessment of control loop performance. Can. J. Chem. Eng., 67, 856-861.
8. Jofriet, P.J. and W.L. Bialkowski (1996). Process Knowledge: The key to on-line monitoring of process variability and control loop performance. Proc. Control. Syst. '96, Halifax, Novia Scotia, 187-193.
9. Johannes, V.I., M.A. Green, and C.A. Brockley (1973). The role of the rate of application of the tangential force in determining the static friction coefficient. Wear, 24, 381-385.
10. Kozub, D.J. and C.E. Garcia (1993). Monitoring and diagnosis of automated controllers in chemical process industries. AIChE Meeting, St Louis.
11. Lynch, C.B. and G.A. Dumont (1996). Control loop performance monitoring. IEEE Trans. Control Systems Technol., 4, 185-192.
12. MacGregor, J.F. (1988). On-line statistical process control. Chem. Eng. Prog (Oct), 21-31.
13. McMillan, G.K. (1995). Improve control valve response. Chem. Eng. Prog. (June), 76-84.
14. Martin, G.D., L.E. Turpin and R.P. Cline (1991). Estimating control function benefits. Hydrocarbon Processing (June), 68-73.
15. Olsson, H. (1996). Control systems with friction, Doctoral dissertation. Department of Automatic Control, Lund Institute of Technology, Sweden.
16. Owen, J.G., D. Read, H. Blekkenhorst and A.A. Roche (1996). A mill prototype for automatic monitoring of control loop performance. Proc. Control. Syst. '96, Halifax, Novia Scotia, 171-178.
17. Perrier, M. and A.A. Roche (1992). Towards mill-wide evaluation of control loop performance. Proc. Control. Syst. '92, Whistler, BC.
18. Piipponen, J. (1996). Controlling processes with nonideal valves: tuning of loops and selection of valves. Proc. Control. Syst. '96, Halifax, Novia Scotia, 179-186.
19. Pryor, C. (1982). Autocovariance and power spectrum analysis. Control Engineering (Oct), 103-106
20. Sanders, F.F. (1995). Watch out for instrument errors. Chem. Eng. Prog. (June), 62-66.
21. Stanfelj, N., T.E. Marlin and J.F. MacGregor (1993). Monitoring and diagnosing process control performance: The single loop case. Ind. Eng. Chem. Res., 32, 301-314.
22. Tyler, M.L. and M. Morari (1996). Performance monitoring of control systems using likelihood methods. Automatica, 32, 1145-1162.
23. Thornhill, N.F., R. Sadowski, J.R. Davis, P. Fedenczuk, M.J. Knight, P. Prichard and D. Rothenberg (1996). Practical experiences in refinery control loop performance assessment. IEE Conference Publication 427/1, 175-180.
24. Welch, P.D. (1967). The use of fast Fourier transforms for the estimation of power spectra. IEEE Trans Audio & Electroacoustics, AU-15, 70-73.