7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
https://doi.org/10.3182/20110828-6-it-1002.01747
Copy DOIJournal: IFAC Proceedings Volumes | Publication Date: Jan 1, 2011 |
Citations: 1 |
AbstractThe simulator development for fault detection and isolation (FDI) of a LEO satellite is presented. The simulator was constructed using satellite dynamics, FDI, sensors and actuators, flight software and a visualization block. Two FDI algorithms were applied. The first was an outlier detection method. The outlier detection method was based on the Kalman filter incorporating thresholds, data windows and average methods. This filter detected, isolated and recovered sudden abnormal data. The second FDI algorithm was a parity space approach for the gyro sensor FDI. The simulator was developed under the Matlab/Simulink environment. The results indicated that the simulator can be used for any LEO satellite.
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.