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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tae-Sik Park Eun-Chul Shin Won-Hyun Oh Ji-Yoon Yoo |
| Copyright Year | 2003 |
| Description | Author affiliation: MEMS Lab., Samsung Adv. Inst. of Technol., Suwon, South Korea (Tae-Sik Park) |
| Abstract | In this paper, a novel robust torsional vibration suppression control scheme is proposed for the rolling mill drive system. We propose the torsional vibration suppression controller that consists of reduced order state feedback controller and PI controller; the motor speed and the observed torsional torque are fed back. Using the estimated mechanical parameters by off-line RLS (Recursive Least Square) algorithms, we design the speed controller for torsional vibration suppression and its gains are determined using the Kharitonov robust control theory. The Kharitonov robust control theory can obtain the robust stability with a specific stability margin and a damping limit. Even if the parameters are varied within some specific limit, it guarantees high performance of vibration suppression. The effectiveness and usefulness of the proposed schemes are verified with the simulation and the experimental results on the fully digitalized 5.5 kW rolling mill drive system. |
| Sponsorship | IEEE Industrial Electronics Soc |
| Starting Page | 66 |
| Ending Page | 71 |
| File Size | 371176 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780379063 |
| DOI | 10.1109/IECON.2003.1279956 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-11-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robust control Velocity control Vibration control Milling machines Torque control Robust stability Control systems State feedback Parameter estimation Recursive estimation |
| Content Type | Text |
| Resource Type | Article |
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