Optimizing Cyclotron RF System for Higher Voltage Operation
The cyclotron RF system was originally designed for 100kV but has never been operated at that voltage. Efforts are underway to study the system's limits and safely increase the voltage. Challenges include RF sparks, downtime reduction, and increasing dee voltage levels. Solutions involve optimizing the LLRF unit, upgrading to FPGA systems, and implementing machine learning for spark detection. Collaboration with experts and investment in hardware protection and monitoring are key components of the strategy to enable operation at higher voltages.
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Presentation Transcript
Cyclotron RF road map for 100 kV AUG-20, 2020 V. ZVYAGINTSEV, R.E. LAXDAL
The cyclotron rf was designed for 100kV but has never been operated there. We will engage in a study to find out the limits of the system with a plan to safely raise the voltage.
Cyclotron rf performance (2013-2019) Cyclotron RF Downtime RF Dee voltage 400 98 350 96 Setpoint 300 Hours downtime 94 RF Dee Voltage Readback 250 92 200 90 150 88 100 86 50 0 84 2012 2013 2014 2015 2016 2017 2018 2019 2020 2008 2010 2012 2014 2016 2018 2020 Year Year FYP goals - Need to maintain progress on reduced down-time and increase dee voltage back to 2010 levels
Problems and solutions RF sparks in the cyclotron resonator Problem: currently machine protection system identifies sparks but does not react appropriately in all cases this creates down time and so we run at lower voltage to be conservative Solution: Optimize LLRF unit and software for spark identification and automatic recovery of operation after sparks Upgrade to FPGA LLRF system (2021) Develop machine learning methodology for fast recognition and optimized response and recovery to allow us to operate at higher voltages (Ramona Leewe development) Limitations inside cyclotron need to be identified as we increase voltage more diagnostics (TBD)
Ramona Leewe - LLRF Spark detection and reaction through machine learning Spark detection and reaction system within TRIUMF s cyclotron through fault diagnostic and machine learning In collaboration with Prof. Dr. Gerwald Lichtenberg from the University of Applied Science in Hamburg, Germany 500MeV cyclotron rf spark events are accumulated based on an oscilloscope image then characterized to form a data base for machine learning to guide machine protection
Operation with higher RF power; >1MW CW Identify potential bottlenecks based on the original design and the present configuration Some of the developments have been addressed in the FYP RF refurbishing budget/strategy More hardware protection for RF system; arc, water leak detectors, diagnostics (+20k$) Better tuning/troubleshooting of RF Amplifier 1.1MW Dummy Load (167k$ 127k$ already covered in FYP) Conditioning station for Power Tubes - Test stand (need 30k$ - 20k$ already in FYP) Potential hardware limitations from Main Coupler and Capacitor stations can be monitored through additional diagnostics - may require new designs/developments for reliable HPRF
