Fault Detection and Isolation of Satellite Inertial Instrumentation Using Nonlinear Adaptive Filters
Author:
Affiliation:
1. Department of Electrical Engineering, Jadavpur University, Kolkata 700 032, India
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering
Link
http://arc.aiaa.org/doi/pdf/10.2514/1.I010180
Reference7 articles.
1. Evaluating the Performances of Adaptive Kalman Filter Methods in GPS/INS Integration
2. Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
3. PirmoradiF. “Fault Detection and Diagnosis in a Spacecraft Attitude Determination System,” M.A.Sc. Dissertation, Dept. of Mechanical Engineering, Univ. of British Columbia, Vancouver, 2005.
4. XiongK.ChanC. W.ZhangH. Y. “Detection of Satellite Attitude Sensor Faults Using the UKF,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 2, 2007, pp. 480–491. doi:10.1109/TAES.2007.4285348
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