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Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter Cover

Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter

International Journal of Applied Mathematics and Computer Science
Volume 25 (2015): Issue 1 (March 2015)
By: ,  ,  ,   and    
Open Access
|Mar 2015
References

References

  1. Amidi, O., Kanade, T. and Miller , J.R. (1998). Vision-based autonomous helicopter research at Carnegie Mellon Robotics Institute 1991-1997, Proceedings of the American Helicopter Society International Conference, Heli, Japan, pp. T7-3-1-T7-3-12.
    Search in Google Scholar
  2. Amoozgar, M.H., Chamseddine, A. and Zhang, Y. (2013). Experimental test of a two-stage Kalman filter for actuator fault detection and diagnosis of an unmanned quadrotor helicopter, Journal of Intelligent and Robotic Systems 70(4): 107-117.
    Open DOISearch in Google Scholar
  3. Arne, W. and J¨urgen, A. (2011). Robust fault isolation observers for non-square systems-a parametric approach, Proceedings of the 8th IFAC Symposium on Fault Detection, Su pervision and Safety of Technical Processes, Mexico City, Mexico, pp. 1275-1280.
    Search in Google Scholar
  4. Åström, K.J. and Wittenmark, B. (2013). Adaptive Control, Courier Dover Publications, New York, NY.
    Search in Google Scholar
  5. Bätz, G., Weber, B., Scheint, M., Wollherr, D. and Buss, M. (2013). Dynamic contact force/torque observer: Sensor fusion for improved interaction control, The International Journal of Robotics Research 32(4): 446-457.
    Open DOISearch in Google Scholar
  6. Bian, X., Li, X., Chen, H., Gan, D. and Qiu, J. (2011). Joint estimation of state and parameter with synchrophasors, Part II: Parameter tracking, IEEE Transactions on Power Systems 26(3): 1209-1220.
    Open DOISearch in Google Scholar
  7. Cai, G., Chen, B., Dong, X. and Lee, T. (2011a). Design and implementation of a robust and nonlinear flight control system for an unmanned helicopter, Mechatronics 21(5): 803-820.
    Open DOISearch in Google Scholar
  8. Cai, G., Chen, B. and Lee, T. (2011b). Unmanned Rotorcraft System, Springer-Verlag, London.
    Open DOISearch in Google Scholar
  9. Campbell, M., Lee, J., Scholte, E. and Rathbun, D. (2007). Simulation and flight test of autonomous aircraft estimation, planning, and control algorithms, Journal of Guidance, Control, and Dynamics 30(6): 1597-1609.
    Open DOISearch in Google Scholar
  10. Cui, N., Hong, L. and Layne, J. (2005). A comparison of nonlinear filtering approaches with an application to ground target tracking, Signal Processing 85(8): 1469-1492.
    Open DOISearch in Google Scholar
  11. Dai, L., Qi, J., Wu, C. and Han, J. (2012). Magnetic compass error analysis and calibration for rotorcraft flying robot, Jiqiren (Robot) 34(4): 418-423, (in Chinese).
    Open DOISearch in Google Scholar
  12. Drozeski, G., Saha, B. and Vachtsevanos, G. (2005). A fault detection and reconfigurable control architecture for unmanned aerial vehicles, Proceedings of the IEEE Aerospace Conference, Big City, MT, USA, pp. 1-9.
    Search in Google Scholar
  13. Ducard, G. and Geering, H. (2008). Efficient nonlinear actuator fault detection and isolation system for unmanned aerial vehicles, Journal of Guidance, Control, and Dynamics 31(1): 225-237.
    Open DOISearch in Google Scholar
  14. He, Y. and Han, J. (2010). Acceleration-feedback-enhanced robust control of an unmanned helicopter, Journal of Guidance, Control, and Dynamics 33(4): 1236-1250.
    Open DOISearch in Google Scholar
  15. Heredia, G., Ollero, A. and Bejar, M. (2008). Sensor and actuator fault detection in small autonomous helicopters, Mechatronics 18(2): 90-99.
    Open DOISearch in Google Scholar
  16. Heredia, G., Remu, B. and Ollero, A. (2004). Actuator fault detection in autonomous helicopters, Proceedings of the 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, pp. 569-574.
    Search in Google Scholar
  17. Ingimundarson, A., Bravo, J., Puig, V., Alamo, T. and Guerra, P. (2009). Robust fault detection using zonotope-based set-membership consistency test, International Journal of Adaptive Control and Signal Processing 23(4): 311-330.
    Open DOISearch in Google Scholar
  18. Johnson, E.N. and Schrage, D.P. (2003). The Georgia Tech unmanned aerial research vehicle: GTMax, Proceedings of the AIAA Guidance, Navigation, and Control Conference, Austin, TX, USA, pp. 11-14.
    Search in Google Scholar
  19. Julier, S. and Uhlmann, J. (2004). Unscented filtering and nonlinear estimation, Proceedings of the IEEE 92(3): 401-422.
    Open DOISearch in Google Scholar
  20. Kandepu, R., Foss, B. and Imsland, L. (2008). Applying the unscented Kalman filter for nonlinear state estimation, Journal of Process Control 18(8): 753-768.
    Open DOISearch in Google Scholar
  21. Kotecha, J. and Djuric, P. (2003). Gaussian particle filtering, IEEE Transactions on Signal Processing 51(10): 2592-2601.
    Open DOISearch in Google Scholar
  22. Qi, J., Han, J. and Wu, Z. (2008). Rotorcraft UAV actuator failure estimation with KF-based adaptive UKF algorithm, Proceedings of the American Control Conference, Seattle, WA, USA, pp. 1618-1623.
    Search in Google Scholar
  23. Qi, J., Jiang, Z., Zhao, X. and Han, J. (2007). Adaptive UKF and its application in fault tolerant control of rotorcraft UAV, Proceedings of the AIAA Guidance, Navigation, and Control Conference, Hilton Head, SC, USA, pp. 43-57.
    Search in Google Scholar
  24. Qi, J., Song, D., Dai, L. and Han, J. (2009). Design, implement and testing of a rotorcraft UAV system, in T. Mung Lam (Ed.), Aerial Vehicles, InTech, Rijeka, pp. 537-554.
    Open DOISearch in Google Scholar
  25. Qi, J., Song, D.,Wu, C., Han, J. and Wang, T. (2012). KF-based adaptive UKF algorithm and its application for rotorcraft UAV actuator failure estimation, International Journal of Advanced Robotic Systems 9(132): 1-9.
    Open DOISearch in Google Scholar
  26. Qi, J., Zhao, X., Jiang, Z. and Han, J. (2006). Design and implement of a rotorcraft UAV testbed, Proceedings of the IEEE International Conference on Robotics and Biomimetics, Kunming, China, pp. 109-114.
    Search in Google Scholar
  27. Qi, X., Qi, J., Theilliol, D., Zhang, Y. and Han, J. (2014). A review on fault diagnosis and fault tolerant control methods for single-rotor aerial vehicles, Journal of Intelligent and Robotic Systems 73(4): 535-555.
    Open DOISearch in Google Scholar
  28. Qi, X., Theilliol, D., Qi, J., Zhang, Y., Han, J., Song, D., Wang, L. and Xia, Y. (2013). Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review, Proceedings of the International Conference on Control and Fault-Tolerant Systems (SysTol), Nice, France, pp. 132-139.
    Search in Google Scholar
  29. Song, D., Wu, C., Qi, J., Han, J. and Wang, T. (2012). A MIT-based nonlinear adaptive set-membership filter for the ellipsoidal estimation of mobile robots’ states, International Journal of Advanced Robotic Systems 9(125): 1-12.
    Open DOISearch in Google Scholar
  30. Van Der Merwe, R. (2004). Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models, Ph.D. thesis, Oregon Health & Science University, Portland, OR.
    Search in Google Scholar
  31. Wu, C., Song, D., Dai, L., Qi, J., Han, J. and Wang, Y. (2010). Design and implementation of a compact RUAV navigation system, Proceedings of the IEEE International Conference on Robotics and Biomimetics, Tianjin, China, pp. 1662-1667.
    Search in Google Scholar
  32. Wu, C., Song, D., Qi, J. and Han, J. (2012). Rotorcraft UAV actuator failure detection based on a new adaptive set-membership filter, Proceedings of the 5th International Conference on Intelligent Robotics and Applications, Montreal, Canada, pp. 433-442.
    Search in Google Scholar
  33. Xiong, J. (2013). Set-Membership State Estimation and Application on Fault Detection, Ph.D. thesis, French National Center for Scientific Research, Toulouse.
    Search in Google Scholar
  34. Xiong, K., Zhang, H. and Chan, C. (2006). Performance evaluation of UKF-based nonlinear filtering, Automatica 42(2): 261-270.
    Open DOISearch in Google Scholar
  35. Zhang, Y. and Jiang, J. (2008). Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control 32(2): 229-252.
    Open DOISearch in Google Scholar
  36. Zhou, B. and Han, J. (2007). A comparison of nonlinear estimation methods for tracked vehicle with slipping, Proceedings of the IEEE International Conference on Control and Automation, Guangzhou, China, pp. 389-394.
    Search in Google Scholar
  37. Zhou, B., Han, J. and Liu, G. (2008). A UD factorization-based nonlinear adaptive set-membership filter for ellipsoidal estimation, International Journal of Robust and Nonlinear Control 18(16): 1513-1531.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.1515/amcs-2015-0013 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 175 - 187
Submitted on: Feb 18, 2014
Published on: Mar 25, 2015
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
actuator fault detection and diagnosis,
unmanned helicopter,
Kalman filter,
set-membership filter,
adaptive scheme
Related subjects:
Mathematics,
Applied mathematics

© 2015 Chong Wu, Juntong Qi, Dalei Song, Xin Qi, Jianda Han, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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