Research on the Dynamic Compensation Algorithm of Vanadium Self-Powered Neutron Detector Based on Robust Filtering Theory

Peng Xingjie; Zhang Zhizhu; Li Qing; Wang Kan

doi:10.13832/j.jnpe.2016.01.0077

Volume 37 Issue 1

Feb. 2025

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Peng Xingjie, Zhang Zhizhu, Li Qing, Wang Kan. Research on the Dynamic Compensation Algorithm of Vanadium Self-Powered Neutron Detector Based on Robust Filtering Theory[J]. Nuclear Power Engineering, 2016, 37(1): 77-81. doi: 10.13832/j.jnpe.2016.01.0077

Citation:

Peng Xingjie, Zhang Zhizhu, Li Qing, Wang Kan. Research on the Dynamic Compensation Algorithm of Vanadium Self-Powered Neutron Detector Based on Robust Filtering Theory[J]. Nuclear Power Engineering, 2016, 37(1): 77-81. doi: 10.13832/j.jnpe.2016.01.0077

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Research on the Dynamic Compensation Algorithm of Vanadium Self-Powered Neutron Detector Based on Robust Filtering Theory

doi: 10.13832/j.jnpe.2016.01.0077

1. Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2014-09-26
Rev Recd Date: 2015-07-15

Available Online: 2025-02-15

Abstract

Abstract

Vanadium self-powered neutron detector（SPND） signal can be used to reconstruct core three-dimensional power distribution. Due to the delayed detector current response to flux variation, the dynamic compensation of the vanadium self-powered neutron detector current is needed to ensure the veracity of the neutron flux measurement. This research is focused on SPND dynamic compensation algorithm based on robust filter theory, and the filter design problems are solved via the convex optimization framework using linear matrix inequalities. The numerical simulation results show that three filter based on robust filtering theory all can provide a reasonable balance between response speed and noise suppression.
- Robust filtering theory,
- Vanadium self-powered neutron detector,
- Dynamic compensation