Development on Fault Detection and Diagnosis of Unmanned Aerial Vehicles

Abstract:

The reliability of unmanned aerial vehicles (UAVs) has caught the attention of many researchers in the past decades. This paper presents a review on the development and important issues of state-of-the-art researches in the field of fault detection and diagnosis (FDD) techniques. Faults on an individual unmanned aerial vehicle or a group of unmanned aerial vehicles are considered for providing an overall picture of fault detection and diagnosis approaches.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 861-864
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.861
• Online since: February 2014
• Authors: Yi Peng Zhang*, Ke Cai Cao
• Keywords: Fault Detection, Fault Diagnosis, Review, Unmanned Aerial Vehicle (UAV)

References

[1] Youmin Zhang and Jiang Jin. Bibliographical review on reconfigurable fault-tolerant control systems. Annual Reviews in Control, 32(2): 229–252, (2008).

DOI: 10.1016/j.arcontrol.2008.03.008

[2] Ganguli R., Chopra I., and Haas D. J. Detection of helicopter rotor system simulated faults using neural networks. Journal of the American Helicopter Society, 42(2): 161–171, (1997).

DOI: 10.4050/jahs.42.161

[3] Heredia G. and Ollero A. Detection of sensor faults in small helicopter uavs using observer/kalman filter identification. Mathematical Problems in Engineering, Online, page 20 pages, (2011).

DOI: 10.1155/2011/174618

[4] Qi Juntong, Zhao Xingang, and Jiang Zhe. An adaptive threshold neural-network scheme for rotorcraft uav sensor failure diagnosis. Advances in Neural Networks C ISNN 2007, volume 4493, pages 589–596. Springer Berlin Heidelberg, (2007).

DOI: 10.1007/978-3-540-72395-0_73

[5] Litt J., Kurtkaya M., and Duyar A. Sensor fault detection and diagnosis simulation of a helicopter engine in an intelligent control framework. Technical report, Army Research Laboratory, (1994).

[6] Randall R. B. Detection and diagnosis of incipient bearing failure in helicopter gearboxes. Engineering Failure Analysis, 11(2): 177–190, (2004).

DOI: 10.1016/j.engfailanal.2003.05.005

[7] Schwartz Brian C. and Jones Douglas L. Quadratic and instantaneous and Signal Processing, 14(4): 579–595, (2000).

[8] N. Meskin and K. Khorasani, Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles, IEEE Transactions on automatic control, vol. 54, No. 4, April (2009).

DOI: 10.1109/tac.2008.2009675

[9] M. Tousi, and K. Khorasani, A hybrid fault diagnosis and recovery for a team of unmanned vehicles, Proc. 3rd IEEE SMC International Conference on System of Systems Engineering, pp.1-6, June (2008).

DOI: 10.1109/sysose.2008.4724196

[10] L. Cork and R. Walker, Sensor Fault Detection for UAVs using a Nonlinear Dynamic Model and the IMM-UKF Algorithm, Information, Decision and Control, (2007).

DOI: 10.1109/idc.2007.374555

[11] Hojjat Izadi and Youmin Zhang, Decentralized Model Predictive Control for Cooperative Multiple Vehicles Subject to Communication Loss, Hindawi Publishing Corporation International Journal of Aerospace Engineering, February (2011).

DOI: 10.1155/2011/198308

[12] Farid Sharifi , Youmin Zhang and Amir G. Aghdam, A Distributed Deployment Strategy for Multi-Agent Systems Subject to Health Degradation and Communication Delays, J Intell Robot Syst, October (2013).

DOI: 10.1007/s10846-013-9986-4