@inbook{c02b99954d17414abcb05878815efe95,
title = "Robust speed controller design method based on fuzzy control for torsional vibration suppression in two-mass system",
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.",
keywords = "Fuzzy logic control, Reduced-order state feedback, Robust stability, Rolling mill drive system, Torsional vibration suppression",
author = "Shin, {Eun Chul} and Park, {Tae Sik} and Yoo, {Ji Yoon} and Kim, {Dong Sik}",
year = "2007",
doi = "10.1007/978-3-540-72432-2_18",
language = "English",
isbn = "9783540724315",
series = "Advances in Soft Computing",
pages = "173--184",
editor = "Patricia Melin and {Gomez Ramirez}, Eduardo and Janusz Kacprzyk and Witold Pedrycz",
booktitle = "Analysis and Design of Intelligent Systems using Soft Computing Techniques",
}