Controller performance assessment in set point tracking and regulatory control

International Journal of Adaptive Control and Signal Processing

Volumn 17, Issue 7-9, 2003, Pages 709-727

  Thornhill, N F ^a   Huang, B ^b   Shah, S L ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Chemical industry; Control loop performance; Disturbance; Fault iagnosis; Minimum variance; Plant wide disturbance; Process control; Process operation; Regulation; Set point control

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; PERFORMANCE; RANDOM PROCESSES;

SET POINT TRACKING;

CONTROL EQUIPMENT;

EID: 0141749408     PISSN: 08906327     EISSN: None     Source Type: Journal    
DOI: 10.1002/acs.773     Document Type: Article

References (14)

1. Harris TJ. Assessment of control loop performance. Canadian Journal of Chemical Engineering 1989; 67:856-861.
2. Desborough L, Harris TJ. Performance assessment measures for univariate feedback control. Canadian Journal of Chemical Engineering 1992; 70:1186-1197.
3. Qin SJ. Control performance monitoring - a review and assessment. Computers and Chemical Engineering 1998; 23:173-186.
4. Harris TJ, Seppala CT, Desborough L. A review of performance monitoring and assessment techniques for univariate and multivariate control systems. Journal of Process Control 1999; 9:1-17.
5. Swanda AP, Seborg DE. Controller performance assessment based on setpoint response data. Proceedings of the 1999 American Control Conference 1999; 3863-3867.
6. Isaksson AJ, Horch A, Dumont GA. Event-triggered deadtime estimation from closed-loop data. Proceedings of the 2001 American Control Conference 2001; 3280-3285.
7. Seppala CT, Harris TJ, Bacon DW. Time series methods for dynamic analysis of multiple controlled variables. Journal of Process Control 2002; 12:257-276.
8. Kadali R, Huang B. Controller performance analysis with LQG benchmark obtained under closed loop conditions. ISA Transactions 2002; 41:521-537.
9. Grimble MJ. Controller performance benchmarking and tuning using generalized minimum variance control. Automatica 2002; 38:2111-2119.
10. Xia C, Howell J. Loop status monitoring and fault localisation. Journal of Process Control. 2003; in press: doi:10.1016/S0959-1524(02)00123-3.
11. Desborough L, Harris TJ. Performance assessment measures for univariate feedforward-feedback control. Canadian Journal of Chemical Engineering 1993; 71:605-616.
12. Kozub DJ, Garcia CE. Monitoring and diagnosis of automated controllers in the chemical process industries. A.I.Ch.E. Annual Meeting, St Louis, 1993.
13. Stanfelj N, Marlin TE, MacGregor JF. Monitoring and diagnosing process control performance: The single loop case. Industrial Engineering Chemical Research 1993; 32:301-314.
14. Huang B, Shah SL. Performance Assessment of Control Loops: Theory and Applications. Springer: Berlin, 1999; ISBN: 1-85233-639-0.