Robust speed controller design method based on fuzzy control for torsional vibration suppression in two-mass system

Eun Chul Shin, Tae Sik Park, Ji Yoon Yoo, Dong Sik Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper presents a robust speed controller design method based on fuzzy logic control(FLC) for robust torsional vibration suppression control scheme in rolling mill drive system. This method proposes a torsional vibration suppression controller that comprises a reduced-order state feedback controller and a PI controller whose motor speed and observed torsional torque are fed back. By using the mechanical parameters estimated by an off-line recursive least square algorithm, a speed controller for torsional vibration suppression and its gains can be determined by FLC with the Kharitonov's robust control theory. This method can yield a robust stability with a specified stability margin and damping limit. Even if the parameters are varied within some specified range, the proposed control method guarantees a highly efficient vibration suppression. By using a fully digitalized 5.5 kW rolling mill drive system, the effectiveness and usefulness of the proposed scheme are verified and obtained experimental results.

Original languageEnglish
Title of host publicationAdvances in Soft Computing
Pages173-184
Number of pages12
Volume41
DOIs
Publication statusPublished - 2007 Dec 1

Publication series

NameAdvances in Soft Computing
Volume41
ISSN (Print)16153871
ISSN (Electronic)18600794

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Keywords

  • Fuzzy logic control
  • Reduced-order state feedback
  • Robust stability
  • Rolling mill drive system
  • Torsional vibration suppression

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Science Applications
  • Computer Science (miscellaneous)

Cite this

Shin, E. C., Park, T. S., Yoo, J. Y., & Kim, D. S. (2007). Robust speed controller design method based on fuzzy control for torsional vibration suppression in two-mass system. In Advances in Soft Computing (Vol. 41, pp. 173-184). (Advances in Soft Computing; Vol. 41). https://doi.org/10.1007/978-3-540-72432-2_18