Speaker
Description
Various advanced resonance control techniques have been developed and deployed at accelerator facilities to mitigate mechanical detuning in high-Q Superconducting Radio-Frequency (SRF) cavities. During the LCLS-II project, several of these approaches were evaluated and a real-time adaptive Narrowband Active Noise Cancellation (NANC) algorithm, developed through a collaboration between SLAC, DESY, and LBNL, emerged as a particularly promising method. The NANC algorithm has since been tested on LCLS-II-style cryomodule cavities at multiple facilities and has consistently demonstrated its ability to reduce microphonic detuning.
The LCLS-II implementation of NANC has matured significantly through successive stages of development and is now approaching readiness for larger-scale deployment. This capability is expected to provide benefits at SLAC as the laboratory prepares to commission 23 new SRF cryomodules for the LCLS-II-HE project while also restarting 37 LCLS-II cryomodules, some of whose cavities have experienced microphonic detuning that limited achievable operating gradients. This contribution describes the NANC approach as implemented on the LCLS-II Low-Level RF (LLRF) platform and presents results from recent testing campaigns.
| Abstract Classification | Control Loop Modeling, Tuning and Optimization |
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