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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dae Yup Lee Hyung Suck Cho |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea (Dae Yup Lee) |
| Abstract | Deviation of a slab width from the desired value in hot plate mills has caused significant yield loss by trimming and led to a demand for tighter width tolerances of rolled plates. This necessitates vertical rolling with considerable width accuracy. In this paper, a slab width control system is proposed in order to meet the stringent requirement on the plate dimensional tolerance. The control system adopts a multilayer perceptron neural network to account for the complicated process dynamics characterized by nonlinear, time-varying and uncertain properties. A series of simulation works were conducted to evaluate the performance of the proposed control system for various operating conditions and networks design parameters. The control performance is analyzed in detail in terms of the system response accuracy and robustness to rolling temperature variation. |
| Starting Page | 3391 |
| Ending Page | 3396 |
| File Size | 527169 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780355296 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.1999.836207 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-07-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Control systems Slabs Milling machines Nonlinear control systems Multilayer perceptrons Multi-layer neural network Nonlinear dynamical systems Time varying systems Control system synthesis |
| Content Type | Text |
| Resource Type | Article |
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