Comprehensive methodology for detection and diagnosis of oscillatory control loops

Control Engineering Practice

Volumn 17, Issue 8, 2009, Pages 939-956

  Karra, Srinivas ^a   Karim, M Nazmul ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Hammerstein modeling; Identification under non stationary disturbances; Limit cycles; Stiction detection and quantification

Indexed keywords

AUTOCORRELATION FUNCTIONS; CONTROL LOOP; CONTROLLER TUNING; DETECTION AND DIAGNOSIS; DETECTION METHODS; EXTERNAL DISTURBANCES; HAMMERSTEIN MODELING; IDENTIFICATION UNDER NON-STATIONARY DISTURBANCES; LIMIT CYCLES; MODEL BASED APPROACH; MULTIPLE FAULTS; NOVEL METHODOLOGY; OSCILLATION DIAGNOSIS; OSCILLATORY CONTROL; PROCESS DYNAMICS;

CONTROLLERS; IDENTIFICATION (CONTROL SYSTEMS); POWER SPECTRAL DENSITY; REMOTE CONTROL;

STICTION;

EID: 67349245479     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2009.02.015     Document Type: Article

References (50)

1. Alduwaish H., and Karim M.N. A new method for the identification of Hammerstein model. Automatica 33 10 (1997) 1871-1875
2. Bai E.W. An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems. Automatica 34 (1998) 333
3. Bai E.W. Identification of linear systems with hard input nonlinearities of known structure. Automatica 38 (2002) 853-860
4. Beckman, D., & Jury, F. (November 1997). Reducing process variability with control valves. Internal Report, Fisher Controls International Inc., Marshalltown, Iowa.
5. Bialkowski W.L. Dreams versus reality: a view from both sides of the gap. Pulp and Paper Canada 94 11 (1993) 19-27
6. Choudhury M.A.A.S., Jain M., and Shah S.L. Stiction-definition, modelling, detection and quantification. Journal of Process Control 18 (2008) 232-243
7. Choudhury, M. A. A. S., Kariwala, V., Shah, S. L., Douke, H., Takada, H., & Thornhill, N. F. (2005). A simple test to confirm control valve stiction. In IFAC world congress, Praha.
8. Choudhury M.A.A.S., Shah S.L., and Thornhill N.F. Diagnosis of poor control loop performance using higher order statistics. Automatica 40 (2004) 1719-1728
9. Choudhury M.A.A.S., Thornhill N.F., and Shah S.L. Modelling valve stiction. Control Engineering Practice 13 (2005) 641-658
10. Choudhury M.A.A.S., Thornhill N.F., and Shah S.L. Automatic detection and quantification of control valve stiction. Control Engineering Practice 14 12 (2006) 1395-1412
11. Corradini M.L., and Orlando G. Robust stabilization of nonlinear uncertain plants with backlash or dead zone in the actuator. IEEE Transactions on Control Systems Technology 10 1 (2002) 158-166
12. Ender D.B. Process control performance: not as good as you think. Control Engineering 9 (1993) 180-190
13. Eskinat E., Johnson S.H., and Luyben W.L. Use of Hammerstein models in identification of nonlinear systems. AIChE Journal 37 2 (1991) 255
14. Forsman, K., & Stattin, A. (1999). A new criterion for detecting oscillations in control loops. In European control conference, Karlsruhe, Germany.
15. Hagglund T. A control-loop performance monitor. Control Engineering Practice 3 (1995) 1543-1551
16. Hagglund T. A friction compensator for pneumatic control valves. Journal of Process Control 12 (2002) 897-904
17. He Q.P., Wang J., Pottman M., and Qin S.J. A curve fitting method for detecting valve stiction in oscillating control loops. Industrial Engineering Chemistry Research 46 13 (2007) 4549-4560
18. Horch A. A simple method for detection of stiction in control valves. Control Engineering Practice 7 (1999) 1221-1231
19. Horch A. Benchmarking control loops with oscillations and stiction. In: Ordys A., Uduechi D., and Johnson M.A. (Eds). Process control performance assessment (2007), Springer, Berlin 227-257
20. Isermann R., and Raab U. Intelligent actuators-Ways to autonomous actuating systems. Automatica 29 5 (1993) 1315-1331
21. Jelali M. Estimation of valve stiction in control loops using separable least-squares and global search algorithms. Journal of Process Control 18 7 (2008) 632-642
22. Kano, M., Maruta, H., Kugemoto, H., & Shimizu, K. (2004). Practical model and detection algorithm for valve stiction. In IFAC-Dycops-seventh international conference, Cambridge, USA.
23. Karra, S., & Karim, M. N. (2009). Alternative model structure with simplistic noise model to identify linear time invariant systems subjected to non-stationary disturbances, Journal of Process Control, doi: 10.1016/j.jpcont.2008.12.007.
24. Kayihan A., and Doyle F.J. Friction compensation for a process control valve. Control Engineering Practice 8 (2000) 799-812
25. Kedem B. Time series analysis by higher order crossings. Technometrics 37 2 (1995) 235
26. Lakshminarayanan S., Shah S.L., and Nandakumar K. Identification of Hammerstein models using multivariate statistical tools. Chemical Engineering Science 50 (1995) 3599-3613
27. Ljung L. System identification: theory for the user. 2nd ed. (1999), Prentice-Hall, Englewood Cliffs, NJ
28. Martin, G. D., Turpin L. E., & Cline R. P. (1991). Estimating control function benefits. Hydrocarbon Processing, June, 68-73.
29. Miao, T., & Seborg, D. E. (1999). Automatic detection of excessively oscillatory feedback control loops. In Proceedings of IEEE conference on control applications, Hawaii, (pp. 359-364).
30. Miller, R., & Desborough, L. (2001). Increasing customer value of industrial control performance-Honeywell's experience. In CPC VI, Arizona, USA.
31. Narendra K.S., and Gallman P.G. An iterative method for the identification of Hammerstein model. IEEE Transactions on Automatic Control 11 (1996) 546
32. Ninness B., and Gibson S. Quantifying the accuracy of Hammerstein model estimation. Automatica 38 (2002) 2037-2051
33. Rengaswamy R., Hagglund T., and Venkatasubramanian V. A qualitative shape analysis formalism for monitoring control loop performance. Engineering Applications of Artificial Intelligence 14 (2001) 23-33
34. Rinehart, N. F. (1997). The impact of control loop performance on the successful application of advanced control. In Aspen world conference proceedings, Boston, MA.
35. Rossi, M., & Scali, C. (2004). Automatic detection of stiction in actuators: a technique to reduce the number of uncertain cases. In IFAC-Dycops-seventh international conference, Cambridge, USA.
36. Rossi M., and Scali C. A comparison of techniques for automatic detection of stiction: simulation and application to industrial data. Journal of Process Control 15 (2005) 505-514
37. Ruel M. Stiction the hidden menace (November, 2000), Control Magazine
38. Saelid, S., & Foss, B. (1983). Adaptive controllers with a vector variable forgetting factor. In Proceedings of the twenty-second IEEE conference on decision and control. Vol. 6. pp. 1488-1494.
39. Singhal A., and Salsbury T.I. A simple method for detecting valve stiction in oscillating control loops. Journal of Process Control 15 (2005) 371-382
40. Srinivasan R., and Rengaswamy R. Stiction compensation in process control loops: A framework for integrating stiction measure and compensation. Industrial and Engineering Chemistry Research 44 (2005) 9164-9174
41. Srinivasan R., and Rengaswamy R. Approaches for efficient stiction compensation in process control valves. Computers and Chemical Engineering 32 (2008) 218-229
42. Srinivasan R., Rengaswamy R., and Miller R. Control loop performance assessment. 1. A qualitative approach for stiction diagnosis. Industrial & Engineering Chemistry Research 44 (2005) 6708-6718
43. Srinivasan R., Rengaswamy R., and Miller R. A modified empirical mode decomposition (EMD) process for oscillation characterization in control loops. Control Engineering Practice 15 9 (2007) 1135-1148
44. Srinivasan R., Rengaswamy R., Narasimhan S., and Miller R. Control loop performance assessment. 2. Hammerstein model approach for stiction diagnosis. Industrial & Engineering Chemistry Research 44 (2005) 6719-6728
45. Stenman A., Gustafsson F., and Forsman K. A segmentation based method for detection of stiction in control valves. International Journal of Adaptive Control and Signal Processing 17 (2003) 625-634
46. Stoica P., and Soderstorm T. Instrumental-variable methods for identification of Hammerstein systems. International Journal of Control 35 3 (1982) 459
47. Thornhill N.F., Huang B., and Zhang H. Detection of multiple oscillations in control loops. Journal of Process Control 13 (2003) 91-100
48. Vahidi A., Stefanopoulou A., and Peng H. Recursive least squares with forgetting for online estimation of vehicle mass and road grade: theory and experiments. Vehicle System Dynamics 43 1 (2005) 31-55
49. Yamashita Y. An automatic method for detection of valve stiction in process control loops. Control Engineering Practice 14 (2006) 503-510
50. Yang J.C., and Clarke D.W. The self-validating actuator. Control Engineering Practice 7 (1999) 249-260