Adaptive Fading Memory H-infinity Filter Design for Compensation of Delayed Components in Self Powered Flux Detectors
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Title |
Adaptive Fading Memory H-infinity Filter Design for Compensation of Delayed Components in Self Powered Flux Detectors
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Creator |
TAMBOLI, PK
DUTTAGUPTA, SP ROY, K |
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Subject |
DYNAMIC COMPENSATION
NEUTRON DETECTORS Adaptive filters Kalman filters minimax techniques signal to noise ratio |
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Description |
The paper deals with dynamic compensation of delayed Self Powered Flux Detectors (SPFDs) using discrete time H-infinity filtering method for improving the response of SPFDs with significant delayed components such as Platinum and Vanadium SPFD. We also present a comparative study between the Linear Matrix Inequality (LMI) based H-infinity filtering and Algebraic Riccati Equation (ARE) based Kalman filtering methods with respect to their delay compensation capabilities. Finally an improved recursive H-infinity filter based on the adaptive fading memory technique is proposed which provides an improved performance over existing methods. The existing delay compensation algorithms do not account for the rate of change in the signal for determining the filter gain and therefore add significant noise during the delay compensation process. The proposed adaptive fading memory H-infinity filter minimizes the overall noise very effectively at the same time keeps the response time at minimum values. The recursive algorithm is easy to implement in real time as compared to the LMI (or ARE) based solutions.
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Publisher |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Date |
2016-01-15T09:32:08Z
2016-01-15T09:32:08Z 2015 |
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Type |
Article
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Identifier |
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 62(4,1)1857-1864
0018-9499 1558-1578 http://dx.doi.org/10.1109/TNS.2015.2445829 http://dspace.library.iitb.ac.in/jspui/handle/100/18259 |
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Language |
en
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