Abstract
In this article an algorithm for optimized real-time sensing of crashes for control purposes is presented. The algorithm is based on time-scale wavelet theory and edge-detection. It is designed for the control of the sawtooth instability, a relaxation oscillator, in fusion plasmas. However, in principle, it can be applied to any periodic crash, measured with any temporally resolved data.
It is argued that the detection of crashes has considerably less delay and detects crashes with higher temporal accuracy than other linear methods; this holds especially for very noisy measurements.
| Original language | English |
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| Title of host publication | Proceedings of the American Control Conference (ACC 2012), 27-29 June 2012, Montreal, Canada |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 5055-5060 |
| ISBN (Print) | 978-1-4577-1096-4 |
| Publication status | Published - 2012 |
| Event | 2012 American Control Conference, ACC 2012 - Fairmont Queen Elizabeth, Montreal, Canada Duration: 27 Jun 2012 → 29 Jun 2012 http://acc2012.a2c2.org/ http://acc2012.a2c2.org/index.php |
Conference
| Conference | 2012 American Control Conference, ACC 2012 |
|---|---|
| Abbreviated title | ACC 2012 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 27/06/12 → 29/06/12 |
| Internet address |