Continuous-time model identification for closed loop control performance assessment

Control Engineering Practice

Volumn 15, Issue 1, 2007, Pages 109-121

  Salsbury, Timothy I ^a  

^a JOHNSON CONTROLS INC   (United States)

Author keywords

Continuous time; Control performance assessment; State variable filters; System identification

Indexed keywords

AIR CONDITIONING; COMPUTER SIMULATION; HEATING; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; TRANSFER FUNCTIONS; VENTILATION;

CONTINUOUS-TIME MODEL; CONTROL PERFORMANCE ASSESSMENT; SINGLE-INPUT SINGLE-OUTPUT (SISO) CONTROL LOOPS; STATE VARIABLE FILTERS;

CLOSED LOOP CONTROL SYSTEMS;

AIR CONDITIONING; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; HEATING; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; TRANSFER FUNCTIONS; VENTILATION;

EID: 33748508419     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2006.05.001     Document Type: Article

References (24)

1. Agrawal P., and Lakshminarayanan S. Tuning PID Controllers using achievable performance indices. Industrial and Engineering Chemistry Research 42 22 (2003) 5576
2. Forssell U., and Ljung L. Closed-loop identification revisited. Automatica 35 (1999) 1215
3. Gustavsson I., Ljung L., and Soderstrom T. Identification of processes in closed loop-identifiability and accuracy aspects. Automatica 13 (1977) 59-75
4. Hägglund T. Automatic detection of sluggish control loops. Control Engineering Practice 7 (1999) 1505
5. Harris T.J. Assessment of control loop performance. Canadian Journal of Chemical Engineering 67 (1989) 856
6. Horch, A. (2002). A complete practical implementation of a method for step response performance assessment. Proceedings of SPCI control systems conference. Stockholm, Sweden.
7. Huang B., and Shah S.L. Performance assessment of control loops (1999), Springer, London
8. Isaksson, A. J., Horch, A., Dumont, G.A. (2001). Event-triggered deadtime estimation from closed-loop data. Proceedings of the American control conference. Arlington, USA.
9. Isermann R. Adaptive control systems (1992), Prentice-Hall, Englewood Cliffs, NJ
10. Jelali M. An overview of control performance assessment technology and industrial applications. control engineering practice 14 5 (2006) 441
11. Jorgensen S.B., and Lee J.H. Recent advances and challenges in process identification. AIChE Symposium Series 326 98 (2002) 55
12. Johansson, R. (1986). Identification of continuous-time dynamic systems. Proceedings of the 25th IEEE Conference on Decision and Control. (P. 1653).
13. Kuehl P., and Horch A. Detection of sluggish control loops - experiences and improvements. Control Engineering Practice 13 8 (2005) 1019
14. Larsson E.K., and Söderström T. Identification of continuous-Time AR processes from unevenly sampled data. Automatica 38,709 (2002)
15. Larsson E.K. Limiting sampling results for continuous-time ARMA systems. International Journal of Control 78 (2005) 461
16. Ljung, L., (1999). System identification - theory for the user. Prentice-Hall. (Second ed).
17. MacGregor J.F., and Harris T.J. The exponentially weighted moving variance. Journal of Quality Technology 25 2 (1993) 106
18. MacGregor J.F., and Fogal D.T. Closed-loop identification: the role of the noise model and pre-filters. Journal of Process Control 5 (1995) 163
19. Mranal J., and Lakshminarayanan S. A filter based approach for performance assessment and enhancement of siso control systems. Industrial and Engineering Chemistry Research 44 (2005) 8260
20. Qin S.J. Control performance monitoring - a review and assessment. Computers and Chemical Engineering 23 (1998) 173
21. Swanda, A., D. E. Seborg. (1997). Evaluating the performance of PID-type feedback control loops using normalized settling time. Proceedings of IFAC ADCHEM Symposium, Banff, Canada.
22. Swanda, A. P., Seborg, D. E. (1999). Controller performance assessment based on setpoint response data. Proceedings of the American control conference (p. 3863), San Diego, California, USA.
23. Thornhill N.F., and Hägglund T. Detection and diagnosis of oscillation in control loops. Control Engineering Practice 5 (1997) 1343
24. Young, P. (1965). Process parameter estimation and self-adaptive control. Proceedings of the second IFAC symposium on the theory of self-adaptive control systems (p. 118), Teddington, England.