Quadrotor Actuator Fault Diagnosis with Real-Time Experimental Results



Remus C Avram Xiaodong Zhang Mohsen Khalili


Quadrotor Unmanned Aerial Vehicles (UAVs) have attracted significant attention in recent years due to their potentials in various military and commercial applications. Four propellers mounted on the shafts of four brushless DC motors generate the required thrust and torques needed for altitude and attitude control of quadrotors. However, structural damage to the propellers and rotor degradation can lead to actuator faults in the form of a partial loss of effectiveness in a rotor, which may result in degraded tracking performance or even loss of stability of the control system. This paper presents the systematic design, analysis, and real-time experimental results of a fault detection and isolation algorithm for quadrotor actuator faults using nonlinear adaptive estimation techniques. The fault diagnosis architecture consists of a nonlinear fault detection estimator and a bank of nonlinear adaptive fault isolation estimators designed based on the functional structures of the faults under consideration. Adaptive
thresholds for fault detection and isolation are systematically designed to enhance the robustness and fault sensitivity of the diagnostic algorithm. Using an indoor quadrotor test environment, real-time experimental flight test results are shown to illustrate the effectiveness of the algorithms.

How to Cite

Avram, R. C., Zhang, X., & Khalili, M. (2016). Quadrotor Actuator Fault Diagnosis with Real-Time Experimental Results. Annual Conference of the PHM Society, 8(1). https://doi.org/10.36001/phmconf.2016.v8i1.2504
Abstract 52 | PDF Downloads 43



fault isolation, Actuator Fault Diagnosis, Fault Estimation, Quadrotor UAVs

Amoozgar, M. H., Chamseddine, A., & Zhang, Y. M. (2013, August). Experimental test of a two-stage Kalman filter for actuator fault detection and diagnosis of an unmanned quadrotor helicopter. Journal of Intelligent & Robotic Systems, 70(1), 107-117.
Berba, C., Lesecq, S., & Maritinez, J. (2008). A multiobserver switching strategy for fault-tolerant control of a quadrotor helicopter. In 16th Mediterranean Conference on Control and Automation (p. 1094-1099).
Blanke, M., Kinnaert, M., Lunze, J., & Staroswiecki, M. (2006). Diagnosis and Fault-Tolerant Control. Berlin-Heidelberg: Springer.
Chamseddine, A., Zhang, Y., Rabbath, C.-A., Apkarian, J., & Fulford, C. (2011, 2016/08/11). Model reference adaptive fault tolerant control of a quadrotor uav. In Infotech@ aerospace 2011. American Institute of Aeronautics and Astronautics.
Dydek, Z., Annaswamy, A., & Lavretsky, E. (2013, July). Adaptive control of quadrotor UAVs: A design trade study with flight evaluations. IEEE Transactions on Control Systems Technology, 21(4), 1400-1406.
Dydek, Z. T., Annaswamy, A. M., & Lavretsky, E. (2013). Adaptive control of quadrotors UAVs: A design trade study with flight evaluations. IEEE Transaction on Control Systems Technology, 21(4).
Freddi, A., Longhi, S., & Monteri, A. (2010, July). Actuator fault detection system for a mini-quadrotor. In 2010 IEEE International Symposium on Industrial Electronics (p. 2055-2060).
Ioannou, P. A., & Sun, J. (1996). Robust Adaptive Control. Mineola, New York: Dover Publications, Inc.
John L. Crassidis, Y. C., F. Landis Markley. (2007). Survey of nonlinear attitude estimation methods. Journal of Guidance, Control and Dynamics, 30(1).
Klein, V., & Morelli, E. A. (2006). Aircraft system identification: Theory and practice (1st ed.). American Institute of Aeronautics & Astronautics, Reston, VA.
Pounds, P., Mahony, R., & Gresham, J. (2004). Towards dynamically-favourable quad-rotor aerial robots. In Australian Conference on Robotics and Automation, ACRA.
Ranjbaran, M., & Khorasani, K. (2010, Dec). Fault recovery of an under-actuated quadrotor aerial vehicle. In 49th IEEE conference on Decision and Control (CDC) (p. 4385-4392).
Sharifi, F., Mirzaei, M., Gordon, B., & Zhang, Y. (2010, Oct). Fault tolerant control of a quadrotor UAV using sliding mode control. In 2010 conference on control and Fault-Tolerant Systems (SysTol) (p. 239-244).
Shima, T., & Rasmussen, S. (2009). UAV cooperative decision and control (T. Shima & S. Rasmussen, Eds.). Society for Industrial and Applied Mathematics. doi: 10.1137/1.9780898718584
Vachtsevanos, G., Tang, L., Drozeski, G., & Gutierrez, L. (2005). From mission planning to flight control of unmanned aerial vehicles: Strategies and implementation tools. Anual Reviews in Control, 29, 101-115.
Zhang, X., Polycarpou, M., & Parisini, T. (2002, Apr). A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems. IEEE Transactions on Automatic Control, 47(4), 576-593.
Zhang, Y. M., Chamseddine, A., Rabbath, C. A., Gordon, B. W., Su, C. Y., Rakheja, S., . . . Gosselin, P. (2013, January). Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed. Journal of the Franklin Institue, 350(9).
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