Redundancy gyroscopes bias fault diagnosis based on the correlated measurement equations in Fengyun-4 spacecraft

Author:

Tang Liang,Chen Shoulei,Wang Kai,Liu Yiwu

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference23 articles.

1. Adnane, A., Jiang, H., Mohammed, M. A. S., Bellar, A., and Foitih., Z. A., 2018. Reliable Kalman Filtering for Satellite Attitude Estimation under Gyroscope Partial Failure, In: 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, Xi’an, China.

2. Chapel, J., Stancliffe, D., Bevacqua, T., Winkler, S., Clapp, B., Rood, T., Freesland, D., Reth, A., Early, D., and Walsh, T., et al., 2017. In-Flight Guidance, Navigation, and Control Performance Results for the GOES16 Spacecraft, In: GNC2017: 10th International ESA Conference on Guidance, Navigation and Control Systems, Salzburg, Austria.

3. Heredia, G., Ollero, A., Mahtani, R., Bejar, M., RemuB, V., Musial, M., 2005. Detection of Sensor Faults in Autonomous Helicopters, In: Proceeding of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain.

4. Hou Z.B., Chen, Y., Kang, R., 2011. Failure Prediction of Laser Gyro Based on Neural Network Method, In: 2011 Prognostics & System Health Management Conference, Shenzhen, China.

5. Comparative Research of Fault Detection Methods Based on Redundant Inertial Measurement Unit;Jia;J. System Simulation,2006

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