Robust Adaptive Kalman Filter for estimation of UAV dynamics in the presence of sensor/actuator faults

Aerospace Science and Technology

Volumn 28, Issue 1, 2013, Pages 376-383

  Hajiyev, Chingiz ^a   Soken, Halil Ersin ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

Author keywords

Actuator faults; Aerospace application; Robust Adaptive Kalman Filter; Sensor faults

Indexed keywords

ACCURATE ESTIMATION; ACTUATOR FAULT; ADAPTATION PROCESS; ADAPTIVE FACTORS; ESTIMATION PROCEDURES; ROBUST ADAPTIVE; SENSOR FAULT; SENSOR/ACTUATOR;

AEROSPACE APPLICATIONS; KALMAN FILTERS;

ESTIMATION;

EID: 84878845132     PISSN: 12709638     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ast.2012.12.003     Document Type: Article

References (28)

1. A. Almagbile, J. Wang, and W. Ding Evaluating the performances of adaptive Kalman filter methods in GPS/INS integration Journal of Global Positioning Systems 9 2010 33 40 10.5081/jgps.9.1.33
2. K.L.B. Cook, The silent force multiplier: The history and role of UAVs in warfare, in: Proceedings of the 2007 IEEE Aerospace Conference, Montana, USA, 2007, pp. 1-7, http://dx.doi.org/10.1109/AERO.2007.352737.
3. W. Ding, J. Wang, and C. Rizos Improving adaptive Kalman estimation in GPS/INS integration The Journal of Navigation 60 2007 517 529 10.1017/S0373463307004316
4. Y. Geng, and J. Wang Adaptive estimation of multiple fading factors in Kalman filter for navigation applications GPS Solutions 12 2008 273 279
5. C. Hajiyev Adaptive Filtration Algorithm with the filter gain correction applied to integrated INS/Radar altimeter Proceedings of the Institution of Mechanical Engineers, Part G Journal of Aerospace Engineering 221 2007 847 885 10.1243/09544100JAERO173
6. C. Hajiyev, and F. Caliskan Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and robust Kalman filtering Aerospace Science and Technology 4 2000 415 422 10.1016/S1270-9638(00)00143-7
7. C. Hajiyev, and F. Caliskan Sensor and control surface/actuator failure detection and isolation applied to F-16 flight dynamics Aircraft Engineering and Aerospace Technology 77 2005 152 160
8. C. Hide, T. Moore, M. Smith, Adaptive Kalman filtering algorithms for integrating GPS and low cost INS, in: Proceedings of the Position Location and Navigation Symposium, Monterey, USA, 2004, pp. 227-233.
9. C. Hu, W. Chen, Y. Chen, and D. Liu Adaptive Kalman filtering for vehicle navigation Journal of Global Positioning Systems 2 2003 42 47
10. D.J. Jwo, and S.C. Chang Particle swam optimization for GPS navigation Kalman filter Aircraft Engineering and Aerospace Technology: An International Journal 81 2009 343 352 10.1108/00022660910967336
11. D.J. Jwo, and T.P. Weng An adaptive sensor fusion method with applications in integrated navigation The Journal of Navigation 61 2008 705 721 10.1017/S0373463308004827
12. R.E. Kalman A new approach to linear filtering and prediction problems ASME Journal of Basic Engineering 1960 35 45
13. K.H. Kim, J.G. Lee, and C.G. Park Adaptive two-stage Kalman filter in the presence of unknown random bias International Journal of Adaptive Control and Signal Processing 20 2006 305 319 10.1002/acs.900
14. J.S. Matthews, Adaptive control of micro air vehicles, M.Sc. thesis, Department of Electrical and Computer Engineering, Brigham Young University, Utah, USA, December 2006.
15. P.S. Maybeck Stochastic Models, Estimation, and Control, vols. I and II 1982 Academic Press New York, USA
16. P.S. Maybeck Multiple model adaptive algorithms for detecting and compensating sensor and actuator/surface failures in aircraft flight control systems International Journal of Robust and Nonlinear Control 9 1999 1051 1070
17. R.K. Mehra On the identification of variance and adaptive Kalman filtering IEEE Transactions on Automatic Control 15 1970 175 184
18. A.H. Mohamed, and K.P. Schwarz Adaptive Kalman filter for INS/GPS Journal of Geodesy 73 1999 193 203
19. R.C. Nelson Flight Stability and Automatic Control 1998 McGraw-Hill Massachusetts, USA
20. L.R. Newcome Unmanned Aviation: A Brief History of Unmanned Aerial Vehicles 2004 AIAA Virginia, USA
21. S.L. Parra, and J. Angel Low cost navigation system for UAVs Aerospace Science and Technology 9 2005 504 516 10.1016/j.ast.2005.06.005
22. O.S. Salychez, Special studies in dynamic estimation procedures with case studies in inertial surveying, ENGO 699.26 Lecture Notes, Department of Geomatics Engineering, University of Calgary, 1994.
23. H.E. Soken, and C. Hajiyev Pico satellite attitude estimation via Robust Unscented Kalman Filter in the presence of measurement faults ISA Transactions 49 2010 249 256 10.1016/j.isatra.2010.04.001
24. J. Wang, M.P. Stewart, M. Tsakiri, Adaptive Kalman filtering for integration of GPS with GLONASS and INS, in: Proceedings of the 1999 International Geodesy Symposia (IUGG 99), Birmingham, UK, 1999.
25. J. Wendel, O. Meister, C. Schlaile, and G.F. Trommer An integrated GPS/MEMS-IMU navigation system for autonomous helicopter Aerospace Science and Technology 10 2006 527 533 10.1016/j.ast.2006.04.002
26. N.A. White, P.S. Maybeck, and S.L. DcVilbiss MMAE detection of interference/jamming and spoofing in a DGPS-aided inertial system IEEE Transactions on Aerospace and Electronic Systems 34 1998 1208 1217 10.1109/7.722708
27. T.R. Yechout, S.L. Morris, D.E. Bossert, W.F. Hallgren, Introduction to Aircraft Flight Mechanics: Performance, Static Stability, Dynamic Stability, and Classical Feedback Control, AIAA Education Series, Virginia, USA, 2003.
28. Y. Zhang, X.R. Li, Detection and diagnosis of sensor and actuator failures using interacting multiple-model estimator, in: Proceedings of the 36th IEEE Conference on Decision and Control, vol. 5, 1997, pp. 4475-4480, http://dx.doi.org/10.1109/CDC.1997.649671.