IBIC2026 - 15th International Beam Instrumentation Conference

A study on beam orbit stability improvement in the BEPCII storage ring via neural network and filtering techniques

TUP016

1 Sept 2026, 16:20

2h

Ballroom C (Whistler Conference Centre)

Poster Presentation MC06: Feedback Systems and Beam Stability Tuesday Poster Session 2

Speaker

Jiuqing Wang (Institute of High Energy Physics)

Description

BEPCII, the upgrade project of the Beijing electron positron collider, is operated not only as a collider for high energy physics research but also as a synchrotron radiation source. Orbit stability is critical for high performance operation. In recent years, an orbit feedback method leveraging neural network was studied and tested on BEPCII, demonstrating improvements in orbit stability. However, it’s observed that the orbit stability is still significantly affected by the noises of BPM data. To eliminate the impact of noises, the Kalman filtering method is introduced into the orbit feedback system and combined with the existing neural network framework, creating a dual neural network orbit feedback system. This approach led to further improvements in overall orbit stability.