25–29 May 2026
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
Reminder: Posters are requested to be uploaded by Thursday, 21 May.

AI Enhanced LLRF Controller for Ultra-lightweight SC Cyclotron CYCIAE-100B

27 May 2026, 11:05
1h
Elena Room (Hotel Hermitage)

Elena Room

Hotel Hermitage

Poster presentation Real Time Diagnostics, Digital Twin, Control, Monitoring, Safety and Security Real Time Diagnostics, Digital Twin, Control, Monitoring, Safety and Security - PS

Speaker

Tianyi Jiang (China Institute of Atomic Energy)

Description

An ultra-lightweight, high-temperature superconducting cyclotron, CYCIAE-100B, is under development at the China Institute of Atomic Energy (CIAE). This cyclotron is designed for use in specialized environments and requires fully automatic, unattended RF system operations. The cyclotron RF cavity is driven by a 20-kW solid-state power amplifier, directly coupled to the high-Q load, at 77 MHz under the control of the LLRF system. The LLRF system is responsible for maintaining stable amplitude and phase control of the RF field and for determining when the RF voltage should be established or evacuated. This paper presents a digital LLRF controller designed for the CYCIAE-100B, which operates in generator-driven mode. The hardware is based on the SOC chip ZYNQ-7045 and incorporates high-speed AD/DA converters, enabling digital demodulation/modulation and a fast PID algorithm for amplitude-phase control. A phase-adjusting network is included to align the high-speed sampling phase. For automated fault recovery, advanced interlock protection logic is implemented in the firmware. Spark detection is performed using digital signal tracking, and corresponding protection is implemented via fuzzy logic control. Additionally, supervised learning is integrated into the LLRF system to diagnose RF system faults. RF system parameters (e.g., the driven, detuning, forward, reflected, and sparks) are recorded in real time upon trigger in testing of the cyclotron. ML failure module training will be conducted using this dataset and is expected to yield valuable results for this LLRF protection logic. This paper reviews the design of the digital LLRF controller and presents preliminary test results.

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Author

Tianyi Jiang (China Institute of Atomic Energy)

Co-authors

Chuan Wang Qingwei Han Tianjue Zhang (China Institute of Atomic Energy) Prof. Zhiguo Yin (China institute of atomic energy)

Presentation materials

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