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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wehner, William Barton, Justin E. Boyer, Mark D. Schuster, Eugenio Luce, Tim C. Ferron, John R. Walker, Michael L. Humphreys, David A. Penaflor, Ben G. Johnson, Robert D. |
| Copyright Year | 2015 |
| Description | Author affiliation: General Atomics, San Diego, CA 92121, USA (Luce, Tim C.; Ferron, John R.; Walker, Michael L.; Humphreys, David A.; Penaflor, Ben G.; Johnson, Robert D.) || Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA (Wehner, William; Barton, Justin E.; Boyer, Mark D.; Schuster, Eugenio) |
| Abstract | The number of tokamak discharges required to carry out meaningful experiments can be significantly reduced by current profile control in the early startup phase. The tokamak is a plasma-confinement device, suitable for confining plasma at the requisite high temperature necessary for initiating fusion. It is currently the most promising device for realizing sustained fusion power generation at a commercial grade level, though it is still in the experimental stage. Presently, difficult to achieve plasma conditions, such as the shape of the plasma current profile, are achieved in a trial and error fashion, which can be a lengthy, wasteful process. In this work we make use of model-based control techniques such as optimal feedforward control via nonlinear programming and linearized feedback control to obtain a target current profile at a specified time in low-confinement-mode (L-mode) discharges. The effectiveness of the controller is demonstrated experimentally. |
| Starting Page | 2601 |
| Ending Page | 2606 |
| File Size | 1157989 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479978861 |
| DOI | 10.1109/CDC.2015.7402608 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-15 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Discharges (electric) Toroidal magnetic fields Mathematical model Magnetic flux Tokamaks Feedforward neural networks |
| Content Type | Text |
| Resource Type | Article |
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