Robust filtering for dynamic compensation of self-powered neutron detectors

2014 ◽  
Vol 280 ◽  
pp. 122-129 ◽  
Author(s):  
Xingjie Peng ◽  
Qing Li ◽  
Wenbo Zhao ◽  
Helin Gong ◽  
Kan Wang
Keyword(s):  
Robust Filtering ◽  
Neutron Detectors ◽  
Dynamic Compensation ◽  
Self Powered

Robust Filtering for Dynamic Compensation of Rhodium Self Powered Neutron Detectors

2014 ◽  
Author(s):  
Xingjie Peng ◽  
Kan Wang ◽  
Qing Li
Keyword(s):  
Neutron Flux ◽  
Noise Suppression ◽  
Response Speed ◽  
Linear Matrix ◽  
Neutron Detectors ◽  
Dynamic Compensation ◽  
Flux Dynamic ◽  
Compensation Methods ◽  
Monitoring And Surveillance ◽  
Self Powered

Self-Powered Neutron Detectors (SPNDs), which are widely used in nuclear reactors to obtain core neutron flux distribution, are accurate at steady state but responds 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 of the three methods are based on the convex optimization framework using linear matrix inequalities (LMI). The simulation results show that three methods all can provide a reasonable balance between response speed and noise suppression.

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