Publisher : The Korean Society for Aeronautical & Space Sciences
DOI : 10.5139/IJASS.2010.11.2.080
Title & Authors
Attitude Estimation for Satellite Fault Tolerant System Using Federated Unscented Kalman Filter Bae, Jong-Hee; Kim, You-Dan;
We propose a spacecraft attitude estimation algorithm using a federated unscented Kalman filter. For nonlinear spacecraft systems, the unscented Kalman filter provides better performance than the extended Kalman filter. Also, the decentralized scheme in the federated configuration makes a robust system because a sensor fault can be easily detected and isolated by the fault detection and isolation algorithm through a sensitivity factor. Using the proposed algorithm, the spacecraft can continuously perform a given mission despite navigation sensor faults. Numerical simulation is performed to verify the performance of the proposed attitude estimation algorithm.
Fault Tolerant Model Predictive Control of Quad-Rotor Helicopters with Actuator Fault Estimation, IFAC Proceedings Volumes, 2011, 44, 1, 6343
Fault Detection and Isolation using an Adaptive Unscented Kalman Filter, IFAC Proceedings Volumes, 2014, 47, 1, 326
Multi-sensor hybrid fusion algorithm based on adaptive square-root cubature Kalman filter, Journal of Marine Science and Application, 2013, 12, 1, 106
An Integrated Fault Detection and Isolation Method for Sensors and Actuators of LEO Satellite, Journal of Institute of Control, Robotics and Systems, 2011, 17, 11, 1117
Robust sensor fault estimation scheme for satellite attitude control systems, Journal of the Franklin Institute, 2013, 350, 9, 2581
Precise attitude determination strategy for spacecraft based on information fusion of attitude sensors: Gyros/GPS/Star-sensor, International Journal of Aeronautical and Space Sciences, 2013, 14, 1, 91
Chi-square and SPRT combined fault detection for multisensor navigation, IEEE Transactions on Aerospace and Electronic Systems, 2016, 52, 3, 1352
Cascade filter structure for sensor/actuator fault detection and isolation of satellite attitude control system, International Journal of Control, Automation and Systems, 2012, 10, 3, 506
GPS based onboard orbit determination system providing fault management features for a LEO satellite, Journal of Navigation, 2013, 66, 04, 539
Fault tolerant flight control system for the tilt-rotor UAV, Journal of the Franklin Institute, 2013, 350, 9, 2535
Ali, J. and Fang, J. (2005). Multisensor data synthesis using federated form of unscented Kalman filtering. IEEE International Conference on Industrial Technology (ICIT 2005), Hong Kong. pp. 524-529.
Crassidis, J. L., Landis Markley, F., and Cheng, Y. (2007). Survey of nonlinear attitude estimation methods. Journal of Guidance, Control, and Dynamics, 30, 12-28.
Edelmayer, A. and Miranda, M. (2007). Federated filtering for fault tolerant estimation and sensor redundancy management in coupled dynamics distributed systems. Mediterranean Conference on Control and Automation, Athens, Greece.
Ilyas, M., Lim, J., Lee, J. G., and Park, C. G. (2008). Federated unscented kalman filter design for multiple satellites formation flying in LEO. International Conference on Control, Automation and Systems (ICCAS 2008), Seoul, Korea. pp. 453-458.
Jayaraman, P., Fischer, J., Moorhouse, A., and Lauer, M. (2006). Star tracker operational usage in different phases of the mars express mission. SpaceOps 2006 Conference, Rome, Italy.
Karlgaard, C. D. and Schaub, H. (2008). Adaptive huberbased filtering using projection statistics: application to spacecraft attitude estimation. AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, Hawaii.
Kerr, T. (1987). Decentralized filtering and redundancy management for multisensor navigation. IEEE Transactions on Aerospace and Electronic Systems, AES-23, 83-119.
Kim, Y. S. and Hong, K. S. (2003). Decentralized information filter in federated form. SICE Annual Conference, Fukui, Japan. pp. 2176 - 2181.
Schaub, H. and Junkins, J. L. (2003). Analytical mechanics of space systems. Reston, VA: American Institute of Aeronautics and Astronautics.
Simon, D. (2006). Optimal State Estimation: Kalman, H [infinity] and Nonlinear Approaches. Hoboken, NJ: Wiley-Interscience.
Xu, Y. (2009). Nonlinear robust stochastic control for unmanned aerial vehicles. Journal of Guidance, Control, and Dynamics, 32, 1308-1319.