A data-driven approach to mixed-sensitivity control with application to an active suspension system

IEEE Transactions on Industrial Informatics

Volumn 9, Issue 4, 2013, Pages 2293-2300

  Formentin, Simone ^a   Karimi, Alireza ^a  

^a EPFL   (Switzerland)

Author keywords

Convex optimization; data driven control; identification for control; mixed H2 H loop shaping; Youla Ku era parameterization

Indexed keywords

CONVEX OPTIMIZATION TECHNIQUES; DATA-DRIVEN APPROACH; DATA-DRIVEN CONTROL; FIXED-ORDER CONTROLLER; IDENTIFICATION FOR CONTROL; INTERNAL STABILITY; LOOP-SHAPING; MIXED-SENSITIVITY;

CONVEX OPTIMIZATION;

ACTIVE SUSPENSION SYSTEMS;

EID: 84886711384     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2220556     Document Type: Article

References (28)

1. M. Safonov, A. Laub, and G. Hartmann, "Feedback properties of mul tivariable systems-The role and use of the return difference matrix," IEEE Trans. Autom. Control, vol. 26, no. 1, pp. 47-65, Feb. 1981. (Pubitemid 11495782)
2. J. Doyle, B. Francis, and A. Tannenbaum, Feedback Contr. Theory. New York: Macmillan, 1992, vol. 134.
3. G. Obinata, B. Anderson, and F. Lutze, "Model reduction for control system design," Appl. Mech. Rev., vol. 54, 2001.
4. B. Anderson and Y. Liu, "Controller reduction: Concepts and approaches," IEEE Trans. Autom. Control, vol. 34, no. 8, pp. 802-812, Aug. 1989.
5. Z. Gao, X. Dai, T. Breikin, and H. Wang, "Novel parameter identification by using a high-gain observer with application to a gas turbine engine," IEEE Trans. Ind. Inf., vol. 4, no. 4, pp. 271-279, Nov. 2008.
6. W. Lin, T. Su, and R. Wu, "Parameter identification of induction machine with a starting no-load low voltage test," IEEE Trans. Ind. Electron., vol. 59, no. 1, pp. 352-360, Jan. 2012.
7. G. Fontes, C. Turpin, and S. Astier, "A large-signal and dynamic circuit model of a H2/O2 pem fuel cell: Description, parameter identification, and exploitation," IEEE Trans. Ind. Electron., vol. 57, no. 6, pp. 1874-1881, Jun. 2010.
8. K. van Heusden, A. Karimi, and D. Bonvin, "Data-driven model reference control with asymptotically guaranteed stability," Int. J. Adapt. Control Signal Process., 2011.
9. M. Campi, A. Lecchini, and S. Savaresi, "Virtual reference feedback tuning: A direct method for the design of feedback controllers," Auto-matica, vol. 38, no. 8, pp. 1337-1346, 2002. (Pubitemid 34623684)
10. S. Formentin, S. Savaresi, and L. Del Re, "Noniterative direct data-driven controller tuning for multivariable systems: Theory and application," IET Contr. Theory & Appl., vol. 6, no. 9, pp. 1250-1257, 2012.
11. L. Campestrini, D. Eckhard, M. Gevers, and A. Bazanella, "Virtual ref erence feedback tuning for non-minimum phase plants," Automatica, vol. 47, no. 8, pp. 1778-1784, 2011.
12. S. Formentin, M. Corno, S. Savaresi, and L. Del Re, "Direct data-driven control of linear time-delay systems," Asian J. Contr., vol. 14, no. 3, pp. 652-663, 2012.
13. S. Formentin, A. Karimi, and S. Savaresi, "On input design for direct data-driven controller tuning," in Proc. IFAC Symp. System Identification, 2012, vol. 16, no. 1, pp. 1466-1471.
14. J. Rojas and R. Vilanova, "Internal model controller tuning using the virtual reference approach with robust stability," in Proc. IFAC World Congress, 2011, vol. 18, no. 1, pp. 10 237-10 242.
15. S. Formentin, A. Karimi, and S. Savaresi, "Direct data-driven H2-Hinf loop-shaping," I FAC World Congress, vol. 18, no. 1, 2011.
16. H. Procházka, M. Gevers, B. Anderson, and C. Ferrera, "Iterative feedback tuning for robust controller design and optimization," in Proc. 44th IEEE Conf. Decision Contr., 2005, pp. 3602-3607. (Pubitemid 46297530)
17. M. Campi, A. Lecchini, and S. Savaresi, "An application of the virtual reference feedback tuning method to a benchmark problem," Eur. J. Contr., vol. 9, no. 1, pp. 66-76, 2003. (Pubitemid 44642235)
18. L. Miškovic, A. Karimi, and D. Bonvin, "Correlation-based tuning of a restricted-complexity controller for an active suspension system," Eur. J. Contr., vol. 9, no. 1, pp. 77-83, 2003. (Pubitemid 44642236)
19. K. Zhou, J. Doyle, and K. Glover, Robust and Optimal Control. En-glewood Cliffs, NJ: Prentice-Hall, 1996.
20. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1999.
21. S. Boyd and C. Barratt, Linear Controller Design: Limits of Performance 1991.
22. M. Volker, C. Sonntag, and S. Engell, "Control of integrated processes: A case study on reactive distillation in a medium-scale pilot plant," Contr. Eng. Practice, vol. 15, no. 7, pp. 863-881, 2007. (Pubitemid 46584455)
23. T. Söderström, "Errors-in-variables methods in system identification," Automatica, vol. 43, no. 6, pp. 939-958, 2007. (Pubitemid 46653815)
24. R. Rockafeller, Convex Analysis. Princeton, NJ: Princeton Press, 1970.
25. C. Alexandru and P. Alexandru, "A comparative analysis between the vehicles passive and active suspensions," Int. J. Mech., vol. 4, no. 5, 2011.
26. P. Welch, "The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified peri-odograms," IEEE Trans. Audio Electroacous., vol. 15, no. 2, pp. 70-73, 1967.
27. L. Ljung, "System identification toolbox," The Matlab Users Guide 1988.
28. G. Balas, R. Chiang, A. Packard, and M. Safonov, Robust Control Toolbox. Natick, MA: The MathWorks, Inc., 2005.