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Research Papers

Fault Diagnosis for Satellite Attitude Control Systems With Four Flywheels

[+] Author and Article Information
Zhenhua Wang

School of Astronautics,
Harbin Institute of Technology,
Harbin, China150001
e-mail: zhwang1987@gmail.com

Yi Shen

School of Astronautics,
Harbin Institute of Technology,
Harbin, China150001

Xiaolei Zhang

School of Information and Electrical Engineering,
Harbin Institute of Technology (Weihai),
Weihai, China264209

Danwei Wang

School of Electrical and Electronic Engineering,
Nanyang Technological University,
EXQUISITUS, Centre for E-City,
Singapore639798

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 2, 2012; final manuscript received January 10, 2014; published online April 10, 2014. Assoc. Editor: Shankar Coimbatore Subramanian.

J. Dyn. Sys., Meas., Control 136(4), 041016 (Apr 10, 2014) (5 pages) Paper No: DS-12-1286; doi: 10.1115/1.4026515 History: Received September 02, 2012; Revised January 10, 2014

This paper proposes a novel fault diagnosis approach for the satellite attitude control system with flywheel faults. The key contributions include fault estimation by sparse approximation algorithm and diagnosis of multiple faults. In this paper, a Taylor series expansion is used to derive a fault estimation representation. Based on the sparse property of the faults, fault estimation is formulated as a sparse approximation problem and solved using the orthogonal matching pursuit (OMP) algorithm. Simulation results demonstrate the effectiveness of the proposed method.

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References

Venkateswaran, N., Siva, M. R., and Goel, P. S., 2002, “Analytical Redundancy Based Fault Detection of Gyroscopes in Spacecraft Applications,” Acta Astronaut., 50(9), pp. 535–545. [CrossRef]
Patton, R. J., Uppala, F. J., Simani, S., and Polle, B., 2010, “Robust FDI Applied to Thruster Faults of a Satellite System,” Control Eng. Pract., 18(9), pp. 1093–1109. [CrossRef]
Talebi, H. A., and Khorasani, K., 2007, “A Neural Network-Based Actuator Gain Fault Detection and Isolation Strategy for Nonlinear Systems,” Proceedings of 46th IEEE Conference on Decision and Control, New Orleans, LA, pp. 2614–2619.
Talebi, H. A., Khorasani, K., and Tafazoli, S., 2009, “A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem,” IEEE Trans. Neural Network, 20(1), pp. 45–60. [CrossRef]
Wang, J., Jiang, B., and Shi, P., 2008, “Adaptive Observer-Based Fault Diagnosis for Satellite Attitude Control Systems,” Int. J. Innovative Comput. Inf. Control, 4(8), pp. 1921–1929.
Wu, Q., and Saif, M., 2005, “Neural Adaptive Observer Based Fault Detection and Identification for Satellite Attitude Control Systems,” Proceedings of 2005 American Control Conference, Portland, OR, Vol. 2, pp. 1054–1059.
Wu, Q., and Saif, M., 2005, “Robust Fault Diagnosis for a Satellite System Using a Neural Sliding Mode Observer,” Proceedings of 44th IEEE Conference on Decision and Control, Seville, Spain, pp. 7668–7673.
Chen, W., and Saif, M., 2007, “Observer-Based Fault Diagnosis of Satellite Systems Subject to Time-Varying Thruster Faults,” ASME J. Dyn. Syst., 129(3), pp. 352–356. [CrossRef]
Gao, Z., Jiang, B., Shi, P., and Cheng, Y., 2010, “Sensor Fault Estimation and Compensation for Microsatellite Attitude Control Systems,” Int. J. Control, Autom., 8(2), pp. 228–237. [CrossRef]
Wang, Z., Shen, Y., and Zhang, X., 2012, “Attitude Sensor Fault Diagnosis Based on Kalman Filter of Discrete-Time Descriptor System,” J. Syst. Eng. Electron., 23(6), pp. 914–920. [CrossRef]
Li, L., and Zhang, H.-Y., 2006, “Controller Reconfiguration Against Reaction Wheel Failure Based on Predictive Filters,” Proceedings of 1st International Symposiumon Systems and Control in Aerospace and Astronautics, Harbin, pp. 1245–1249.
Candès, E. J., Romberg, J., and Tao, T., 2006, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE T. Inform. Theory, 52(2), pp. 489–509. [CrossRef]
Donoho, D. L., 2006, “Compressed Sensing,” IEEE Trans. Inf. Theory, 52(4), pp. 1289–1306. [CrossRef]
Candès, E. J., and Tao, T., 2006, “Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?,” IEEE Trans. Inf. Theory, 52(12), pp. 5406–5425. [CrossRef]
Bickson, D., Baron, D., Ihler, A., Avissar, H., and Dolev, D., 2011, “Fault Identification via Non-Parametric Belief Propagation,” IEEE Trans. Signal Process., 59(6), pp. 2602–2603. [CrossRef]
Wu, Q., and Saif, M., 2006, “Robust Fault Diagnosis for a Satellite Large Angle Attitude System Using an Iterative Neuron PID Observer,” Proceedings of 2006 American Control Conference, Minneapolis, MN, pp. 6710–5715.
Sidi, M. J., 1997, Spacecraft Dynamics and Control: A Practical Engineering Approach, Cambridge University Press, New York.
Crassidis, J. L., and Markley, F. L., 1997, “Predictive Filtering for Nonlinear Systems,” J. Guid. Control Dyn.20(3), pp. 566–572. [CrossRef]
Li, J., and Zhang, H., 2004, “Analysis of Fault Detection Method Based on Predictive Filter Approach,” Sci. China, Ser. E, 34(12), pp. 1375–1392. [CrossRef]
Shen, Y., Zhang, Y., and Wang, Z., 2011, “Satellite Fault Diagnosis Method Based on Predictive Filter and Empirical Mode Decomposition,” J. Syst. Eng. Electron., 22(1), pp. 83–87. [CrossRef]
Donoho, D. L., Elad, M., and Temlyakov, V. N., 2006, “Stable Recovery of Sparse Overcomplete Representations in the Presence of Noise,” IEEE Trans. Inf. Theory, 52(1), pp. 6–18. [CrossRef]
Tropp, J. A., and Gilbert, A. C., 2007, “Signal Recovery From Random Measurements via Orthogonal Matching Pursuit,” IEEE Trans. Inf. Theory, 53(12), pp. 4655–4666. [CrossRef]
Needell, D., and Vershynin, R., 2010, “Signal Recovery From Incomplete and Inaccurate Measurements via Regularized Orthogonal Matching Pursuit,” IEEE J. Sel. Topics Signal Process., 4(2), pp. 310–316. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

The attitude angular velocity of body frame with respect to inertial frame

Grahic Jump Location
Fig. 2

The fault estimation result when a single fault occurs

Grahic Jump Location
Fig. 3

The fault estimation result when two simultaneous faults occur

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