7–12 May 2023
Venice, Italy
Europe/Zurich timezone

Machine Learning based SRF cavity active resonance control

MOPL143
8 May 2023, 16:30
2h
Sala Laguna

Sala Laguna

Poster Presentation MC1.A08: Linear Accelerators Monday Poster Session

Speaker

Faya Wang (SLAC National Accelerator Laboratory)

Description

We’ll introduce a high precision active motion controller based on machine learning (ML) technology and electric piezo actuator. The controller will be used for srf cavity active resonance control, where a data-driven model for system motion dynamics will be developed first, and a model predictive controller (MPC) will be built accordingly. Simulation results as well as initial test results with real SRF cavity will be presented in the paper.

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Primary author

Faya Wang (SLAC National Accelerator Laboratory)

Presentation materials

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