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Optimizing settling-time and overshoot of a controlled variable by a direct method

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dc.title Optimizing settling-time and overshoot of a controlled variable by a direct method en
dc.contributor.author Gazdoš, František
dc.contributor.author Dostál, Petr
dc.contributor.author Pelikán, Radek
dc.relation.ispartof 2008 Mediterranean Conference on Control Automation, Vols 1-4
dc.identifier.isbn 978-1-4244-2504-4
dc.date.issued 2008
dc.citation.spage 526
dc.citation.epage 531
dc.event.title 16th Mediterranean Conference on Control and Automation
dc.event.location Ajaccio
utb.event.state-en France
utb.event.state-cs Francie
dc.event.sdate 2008-06-25
dc.event.edate 2008-06-27
dc.type conferenceObject
dc.language.iso en
dc.publisher The Institute of Electrical and Electronics Engineers (IEEE) en
dc.identifier.doi 10.1109/MED.2008.4602055
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4602055
dc.subject Control theory en
dc.subject Industrial engineering en
dc.subject Tuning en
dc.subject Control and automation en
dc.subject Control loops en
dc.subject Control purposes en
dc.subject Controlled variable en
dc.subject Controller designs en
dc.subject Direct method en
dc.subject New approaches en
dc.subject Simulation experiments en
dc.subject Virtual Reference Feedback Tuning en
dc.subject Feedback en
dc.description.abstract The paper presents a new approach to tuning a control loop. It uses a gradual iterative way to adapt settling-time and overshoot of a controlled variable. The algorithm exploits the virtual reference feedback tuning methodology - a direct method for controller design. Results are demonstrated using simulation experiments on a system from a test batch of models suitable for control purposes. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001894
utb.identifier.rivid RIV/70883521:28140/08:63507070!RIV09-GA0-28140___
utb.identifier.obdid 18553202
utb.identifier.scopus 2-s2.0-52949085810
utb.identifier.wok 000261534400088
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:10Z
dc.date.available 2011-08-09T07:34:10Z
utb.contributor.internalauthor Gazdoš, František
utb.contributor.internalauthor Dostál, Petr
utb.contributor.internalauthor Pelikán, Radek
utb.fulltext.affiliation Frantisek Gazdos, Petr Dostal, and Radek Pelikan F. Gazdoš is with the Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic (corresponding author to provide phone: +420-576-035-199; fax: +420-576-032-719; e-mail: gazdos@fai.utb.cz). P. Dostál and R. Pelikán are also with the Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic (e-mail: dostalp@fai.utb.cz, pelikan@fai.utb.cz).
utb.fulltext.dates Manuscript received April 28, 2008
utb.fulltext.references [1] K. J. Åström and T. Hägglund, PID Controllers: Theory, Design and Tuning. Research Triangle Park, NC: Instrument Society of America, 1995. [2] G. C. Goodwin, S. F. Graebe, and M. E. Salgado, Control System design. Prentice Hall, 2000. [3] S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design. Chichester, England: John Wiley & Sons, 1996. [4] L. Ljung, System identification: Theory for the user. Englewood Cliffs, NJ: Prentice Hall, 1999. [5] O. Kaneko, S. Soma, and T. Fujii, “A fictitious reference iterative tuning (FRIT) in the two-degree of freedom control scheme and its application to closed-loop system identification,” in Proc. IFAC World Congress, Prague, 2005. [6] H. Hjalmarsson, “Iterative feedback tuning – an overview,” Int. Journal of Adaptive Control and Signal processing, vol. 16, pp. 373-395, 2002. [7] M. C. Campi, A. Lecchini, and S. M. Savaresi, “Virtual reference feedback tuning: a direct method for the design of feedback controllers,” Automatica, vol. 38, pp. 1337-1346, 2002. [8] S. Soma, O. Kaneko, and T. Fujii, “A new method of controller parameter tuning based on input-output data – fictitious referenceiterative tuning (frit),” in Proc. IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2004, pp. 789-794. [9] G. O. Guardabassi and S.M. Savaresi, “Virtual reference direct design method: an off-line approach to data-based control system design,” IEEE Trans. on Automatic Control, vol. 45, pp. 954-959, 2000. [10] M. C. Campi, A. Lecchini, and S. M. Savaresi, “Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers,” in Proc. IEEE Conf. on Decision and Control, 2000, pp. 623-628. [11] M. C. Campi, A. Lecchini, and S. M. Savaresi, “An application of the Virtual Reference Feedback Tuning method to a benchmark problem,” European Journal of Control, vol. 9, pp. 66-76, 2003. [12] A. Sala and A. Esparza, “Extensions to ‘virtual reference feedback tuning: A direct method for the design of feedback controllers’,” Automatica, vol. 41, pp. 1473-1476, 2005. [13] A. Sala, “Integrating virtual reference feedback tuning into a unified closed-loop identification framework,” Automatica, vol. 43, pp. 178-183, 2007. [14] M. C. Campi and S. M. Savaresi, “Direct Nonlinear Control Design: The Virtual Reference Feedback Tuning (VRFT) Approach,” IEEE Trans. on Automatic Control, vol. 51, pp. 14-27, 2006. [15] F. Gazdoš and P. Dostál, “Learning a controller for a coupled drives apparatus using VRFT strategy,” in Proc. IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007, ID11.
utb.fulltext.sponsorship The work was supported by the Grant Agency of the Czech Republic under the grant no. 102/07/P148 and by the Ministry of Education of the Czech Republic under the grant no. MSM 7088352101.
utb.fulltext.projects GACR 102/07/P148
utb.fulltext.projects MSM 7088352101
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