What is it about?

Fault Detection and Isolation of satellite inertial instrumentation using adaptive estimators.

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Why is it important?

A Fault Detection and Isolation (FDI) technique based on Adaptive Unscented Kalman Filter (AUKF) has been proposed here for satellite inertial instrumentation. This work is important particularly for the following reasons: (i) very few FDI schemes for aerospace systems exist in literature which utilize nonlinear adaptive state estimators for residual generation. The superiorities of Adaptive nonlinear filter based residual generation for FDI purpose have been demonstrated here. (ii) a modified 't' statistic based residual evaluation technique having options to ignore slow drifts and transient spikes is presented and analyzed here which has been found to be particularly suitable for abrupt sensor fault detection and isolation of spacecraft Attitude Determination (AD) system. •

Perspectives

As a co-author, I felt the work to be of good technical merit and this methodology eventually triggered several further work in this field by the first author and other workers in our group. The first author developed the adaptive filter algorithm (for nonlinear systems) independently . It took a long time for the team to accept the method as validated after trying it out with a number of case studies.

Dr Tapan K Ghoshal
Jadavpur University

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This page is a summary of: Fault Detection and Isolation of Satellite Inertial Instrumentation Using Nonlinear Adaptive Filters, Journal of Aerospace Computing Information and Communication, February 2015, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i010180.
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