| Title |
Novel Scheme to Tune RF Cavities Using Reflected Power |
| Authors |
- R. Leewe, K. Fong, Z. Shahriari
TRIUMF, Vancouver, Canada
- M. Moallem
SFU, Surrey, Canada
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| Abstract |
Tuning of the natural resonance frequency of an RF cavity is essential for accelerator structures to achieve efficient beam acceleration and to reduce power requirements. Typically operational cavities are tuned using phase comparison techniques. The phase measurement is subject to temperature drifts and renders this technique labor and time intensive. To eliminate the phase measurement, reduce human oversight and speed up the start-up time for each cavity, this paper presents a control scheme that relies solely on the reflected power measurements. A sliding mode extremum seeking algorithm is used to minimize the reflected power. To avoid tuning motor abrasion, a variable gain minimizes motor movement around the optimum operating point. The system has been tested and is fully commissioned on two drift tube linear accelerator tanks in TRIUMF's ISAC I linear accelerator. Experimental results show that the resonance frequency can be tuned to its optimum operating point while the start-up time of a single cavity and the accompanied human oversight are significantly decreased.
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| Paper |
download THOP06.PDF [0.747 MB / 3 pages] |
| Poster |
download THOP06_POSTER.PDF [0.244 MB] |
| Export |
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| Conference |
LINAC2016, East Lansing, MI, USA |
| Series |
Linear Accelerator Conference (28th) |
| Proceedings |
Link to full LINAC2016 Proccedings |
| Session |
Oral Poster Session |
| Date |
29-Sep-16 15:00–16:00 |
| Main Classification |
2 Proton and Ion Accelerators and Applications |
| Sub Classification |
2D Room Temperature Structures |
| Keywords |
cavity, controls, resonance, DTL, TRIUMF |
| Publisher |
JACoW, Geneva, Switzerland |
| Editors |
Yoshishige Yamazaki (FRIB/MSU, East Lansing, MI, USA); Alberto Facco (FRIB/MSU, East Lansing, MI, USA); Amy McCausey (FRIB/MSU, East Lansing, MI, USA); Volker RW Schaa (GSI, Darmstadt, Germany) |
| ISBN |
978-3-95450-169-4 |
| Published |
May 2017 |
| Copyright |
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