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

2 Citations (Scopus)


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 publicationAnalysis and Design of Intelligent Systems using Soft Computing Techniques
EditorsPatricia Melin, Eduardo Gomez Ramirez, Janusz Kacprzyk, Witold Pedrycz
Number of pages12
Publication statusPublished - 2007

Publication series

NameAdvances in Soft Computing
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794


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

ASJC Scopus subject areas

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


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