Robust filtering for dynamic compensation of self-powered neutron detectors

被引:9
作者
Peng, Xingjie [1 ,2 ]
Li, Qing [2 ]
Zhao, Wenbo [2 ]
Gong, Helin [2 ]
Wang, Kan [1 ]
机构
[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[2] Nucl Power Inst China, Sci & Technol Reactor Syst Design Technol Lab, Chengdu 610041, Peoples R China
关键词
Convex optimization - Neutron detectors - Neutron flux - Nuclear reactors - Signal filtering and prediction;
D O I
10.1016/j.nucengdes.2014.09.042
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Self-powered neutron detectors (SPNDs), which are widely used in nuclear reactors to obtain core neutron flux distribution, are accurate at steady state but respond slowly to changes in neutron flux. Dynamic compensation methods are required to improve the response speed of the SPNDs and make it possible to apply the SPNDs for core monitoring and surveillance. In this paper, three digital dynamic compensation methods are proposed. All the three methods are based on the convex optimization framework using linear matrix inequalities (LMIs). The simulation results show that all three methods can provide a reasonable balance between response speed and noise suppression. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:122 / 129
页数:8
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