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Precise attitude determination strategy for spacecraft based on information fusion of attitude sensors: Gyros/GPS/Star-sensor
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 Title & Authors
Precise attitude determination strategy for spacecraft based on information fusion of attitude sensors: Gyros/GPS/Star-sensor
Mao, Xinyuan; Du, Xiaojing; Fang, Hui;
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The rigorous requirements of modern spacecraft missions necessitate a precise attitude determination strategy. This paper mainly researches that, based on three space-borne attitude sensors: 3-axis rate gyros, 3-antenna GPS receiver and star-sensor. To obtain global attitude estimation after an information fusion process, a feedback-involved Federated Kalman Filter (FKF), consisting of two subsystem Kalman filters (Gyros/GPS and Gyros/Star-sensor), is established. In these filters, the state equation is implemented according to the spacecraft's kinematic attitude model, while the residual error models of GPS and star-sensor observed attitude are utilized, to establish two observation equations, respectively. Taking the sensors' different update rates into account, these two subsystem filters are conducted under a variable step size state prediction method. To improve the fault tolerant capacity of the attitude determination system, this paper designs malfunction warning factors, based on the principle of residual verification. Mathematical simulation indicates that the information fusion strategy overwhelms the disadvantages of each sensor, acquiring global attitude estimation with precision at a 2-arcsecs level. Although a subsystem encounters malfunction, FKF still reaches precise and stable accuracy. In this process, malfunction warning factors advice malfunctions correctly and effectively.
Attitude Determination;Multiple Update Rates;Federated Kalman Filter;Information Fusion;
 Cited by
Itzhack, Y., Bar-Itzhack, and Richard, R., Harman, "Optimized TRIAD Algorithm for Attitude Determination", Journal of Guidance, Control, and Dynamics, Vol. 20, No. 1, 1997, pp. 208-211. DOI: 10.2514/2.4025 crossref(new window)

Itzhack, Y., Bar-Itzhack, "New Method for Extracting the Quaternion from a Rotation Matrix", Journal of Guidance, Control, and Dynamics, Vol. 23, No. 6, 2000, pp. 1085-1087. DOI: 10.2514/2.4654 crossref(new window)

Jonghee, Bae, and Youdam, Kim, "Attitude Estimation for Satellite Fault Tolerant System Using Federated Unscented Kalman Filter", International Journal of Aeronautical and Space Sciences, Vol. 11, No. 2, 2010, pp. 80-86. DOI: 10.5139/IJASS.2010.11.2.080 crossref(new window)

T.M.A., Habib, "A Comparative Study of Spacecraft Attitude Determination and Estimation Algorithms (A Costbenefit Approach)", Aerospace Science and Technology, 2012. URL : 10.1016/j.ast.2012.04.005

Demoz, Gebre-Egziabher, Roger, C., Hayward, and J., David, Powell, "Design of Multi-sensor Attitude Determination Systems", IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, No. 2, 2004, pp. 627-649. crossref(new window)

R.E., Kalman, "A New Approach to Linear Filtering and Prediction Problems", Journal of Basic Engineering (ASME), Vol. 82D, 1960, pp. 35-45.

J.D., Pearson, and S., Reich, "Decomposition of Large Optimal-control Problems", Proceedings of the Institution of Electrical Engineers, Vol. 114, No. 6, 1967, pp. 845-851. crossref(new window)

Guo Kang, Du Xiaojing, and Mao Xinyuan, "Research on Multi Update Rate Method of Precise Satellite Attitude Determination Based on Gyro and Star-Sensor", AIAA Guidance, Navigation, and Control Conference, Portland, USA, 2011.

Jianguo Yan, Dongli Yuan, Xinmin Wang, et al, "A Study of Information Fusion Based on Federated Kalman Filtering", Proceedings of the 6th World Congress on Intelligent Control and Automation, Dalian, China, 2006.

Tao Junyong, Qiu Jing, Wen Xisen, et al, "Adaptive Federated Filter Model and Its Application in SINS/GPS Integrated Navigation System for Vehicle", Information and Control, Vol. 29, No. 2, 2000, pp. 168-172.

Wu Xunzhong, Zhou Jun, and Qiu Kai, "Study of A Robust Federated Filtering Algorithm Based on Fault Factor Function", Journal of Astronautics, Vol. 27, No. 1, 2006, pp. 57-60.

Liu Zhun, and Chen Zhe, "New Fault Detection Structure and Algorithm Based on Federated Filter", Journal of Beijing University of Aeronautics and Astronautics, Vol. 28, No. 5, 2002, pp. 550-554.

P.J.G., Teunissen, "The Least-squares Ambiguity Decorrelation Adjustment- A Method for Fast GPS Integer Ambiguity Estimation", Journal of Geodesy, Vol. 70, No. 1-2, 1995, pp. 65-82. DOI: 10.1007/BF00863419 crossref(new window)