Integrated system identification and PID controller tuning by frequency loop-shaping

Elena Grassi, Konstantinos Tsakalis, Sachi Dash, Sujit V. Gaikwad, Ward MacArthur, Gunter Stein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

A systematic design methodology for Proportional-Integral-Derivative controllers is presented. Starting from data sets, a model of the system and its uncertainty bounds are obtained. The parameters of the controller are tuned by a convex optimization algorithm, minimizing a weighted difference between the actual loop transfer function and a target in an L 2/L sense. The target selection is guided by the identified model and its uncertainty. The problem of disjoint data sets and/or different models for the same system is also addressed. The method has proved successful in numerous practical cases showing both expediency in controller design and implementation and improved performance over existing controllers.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages1517-1522
Number of pages6
Volume2
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999

Other

OtherThe 38th IEEE Conference on Decision and Control (CDC)
CityPhoenix, AZ, USA
Period12/7/9912/10/99

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Grassi, E., Tsakalis, K., Dash, S., Gaikwad, S. V., MacArthur, W., & Stein, G. (1999). Integrated system identification and PID controller tuning by frequency loop-shaping. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2, pp. 1517-1522). IEEE.