Nonlinear Adaptive Observer-Based Fault Diagnosis for Satellite Actuator

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This paper studies the multi-structural fault mode of satellite actuators, and use numbers of unknown parameters as fault indicators. The problem of adaptive state observer design for nonlinear systems with unknown parameters is dealt with by applying Lypunov method. The nonlinear object is firstly linearized into Lipschitz system, and then by analyzing the sufficient condition for asymptotic convergence of the observer, the structure of observer and the adaptive laws for parameter estimation are given. Finally, the adaptive observer is employed to estimate the faults of satellite actuator. Numerical simulation results show that this method is effective and able to quickly detect faults.

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851-855

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mak Tafazoli. A study of on-orbit spacecraft failures [J]. Acta Astronautica, Vol. 64: 195~205 (2009).

DOI: 10.1016/j.actaastro.2008.07.019

Google Scholar

[2] HA Talebi, RV Patel, K Khorasani. Fault detection and isolation for uncertain nonlinear systems with application to a satellite reaction wheel actuator[C]. Systems, Man, and Cybernetics, P. 3140-3145 (2007).

DOI: 10.1109/icsmc.2007.4414102

Google Scholar

[3] N Meskin, K Khorasani. Fault detection and isolation in a redundant reaction wheels configuration of a satellite[C]. Systems, Man, and Cybernetics, P. 3153-3158(2007).

DOI: 10.1109/icsmc.2007.4413702

Google Scholar

[4] Trunov A B, Polycarpou M M. Automated fault diagnosis in nonlinear Multivariable systems using a learning methodology. IEEE Transactions on neural networks, Vol. 11: 91–101(2000).

DOI: 10.1109/72.822513

Google Scholar

[5] Polycarpou M M, Trunov A B. Learning approach to nonlinear fault diagnosis: detectability analysis. IEEE Transactions on Automatic Control, Vol. 45: 806–812(2000).

DOI: 10.1109/9.847127

Google Scholar

[6] Zhang X D, Polycarpou M M, Parisini T. A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems. IEEE Transactions on Automatic Control, Vol. 47: 576–592(2002).

DOI: 10.1109/9.995036

Google Scholar

[7] Rajamani R. Observers for Lipschitz Nonlinear Systems. IEEE Transactions on Automatic Control, Vol. 43: 397–401(1998).

DOI: 10.1109/9.661604

Google Scholar

[8] Cho Y M, Rajamani R. A systematic approach to adaptive observer synthesis for nonlinear systems. IEEE Transactions on Automatic Control, Vol. 42: 534–537(1997).

DOI: 10.1109/9.566664

Google Scholar

[9] Reif K, Sonnemann F, Unbehauen R. Nonlinear state observation using H-inf filtering Riccati design. IEEE Transactions on Automatic Control, Vol. 44: 203–208(1999).

DOI: 10.1109/9.739140

Google Scholar

[10] Li Ling-lai. Robust fault diagnosis of nonlinear systems. Ph.D. Dissertation, Tsinghua University (2006).

Google Scholar

[11] Zhang Q H. Adaptive observer for multiple-input-multiple-output (MIMO) linear time-varying systems. IEEE Transactions on Automatic Control, Vol. 47: 525–529(2002).

DOI: 10.1109/9.989154

Google Scholar