Citation: | WANG L N,LIU Z B,YUAN J B,et al. Adaptive fault diagnosis and estimation for quadrotor UAV[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(9):2395-2405 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0656 |
A fault detection and estimation(FDA) method based on adaptive technology and observer is designed for common actuator faults of quadrotor unmanned aerial vehicle. In the stage of fault detection, the nonlinear diagnostic observer is designed, and the threshold value is derived by analytic function to ensure the robustness of the proposed detection method. Moreover, the designed observer and residual evaluation function are proved. In the stage of fault estimation, an adaptive law based on switching
[1] |
全权. 多旋翼飞行器设计与控制[M]. 北京: 电子工业出版社, 2018: 70-85.
QUAN Q. Design and control of multi-rotor aircraft[M]. Beijing: Publishing House of Electronics Industry Press, 2018: 70-85 (in Chinese).
|
[2] |
ZHANG Y M, CHAMSEDDINE A, RABBATH C A, et al. Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed[J]. Journal of the Franklin Institute, 2013, 350(9): 2396-2422. doi: 10.1016/j.jfranklin.2013.01.009
|
[3] |
申富媛, 李炜. 四旋翼无人机执行器可重构性量化评价方法研究[J]. 北京航空航天大学学报, 2020, 46(11): 2077-2086.
SHEN F Y, LI W. Quantitative reconfigurability evaluation method of actuator for quadrotor UAV[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(11): 2077-2086(in Chinese).
|
[4] |
刘贞报, 马博迪, 高红岗, 等. 基于形态自适应网络的无人机目标跟踪方法[J]. 航空学报, 2021, 42(4): 524904.
LIU Z B, MA B D, GAO H G, et al. Adaptive morphological network based UAV target tracking algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(4): 524904(in Chinese).
|
[5] |
AMOOZGAR M H, CHAMSEDDINE A, ZHANG Y M. Experimental test of a two-stage Kalman filter for actuator fault detection and diagnosis of an unmanned quadrotor helicopter[J]. Journal of Intelligent & Robotic Systems, 2013, 70(1): 107-117.
|
[6] |
权璐, 姜斌, 杨蒲. 基于神经网络滑模观测器的飞控系统故障诊断[J]. 扬州大学学报(自然科学版), 2019, 22(2): 51-55.
QUAN L, JIANG B, YANG P. Research on fault diagnosis algorithm of flight control system based on neural network sliding mode observer[J]. Journal of Yangzhou University (Natural Science Edition), 2019, 22(2): 51-55(in Chinese).
|
[7] |
ZHANG K, JIANG B, SHI P. Fast fault estimation and accommodation for dynamical systems[J]. IET Control Theory & Applications, 2009, 3(2): 189-199.
|
[8] |
杨荟憭, 姜斌, 张柯. 四旋翼直升机姿态系统的直接自修复控制[J]. 控制理论与应用, 2014, 31(8): 1053-1060.
YANG H L, JIANG B, ZHANG K. Direct self-repairing control for four-rotor helicopter attitude systems[J]. Control Theory & Applications, 2014, 31(8): 1053-1060(in Chinese).
|
[9] |
AVRAM R C, ZHANG X D, MUSE J. Nonlinear adaptive fault-tolerant quadrotor altitude and attitude tracking with multiple actuator faults[J]. IEEE Transactions on Control Systems Technology, 2018, 26(2): 701-707. doi: 10.1109/TCST.2017.2670522
|
[10] |
FREEMAN P, PANDITA R, SRIVASTAVA N, et al. Model-based and data-driven fault detection performance for a small UAV[J]. IEEE/ASME Transactions on Mechatronics, 2013, 18(4): 1300-1309. doi: 10.1109/TMECH.2013.2258678
|
[11] |
ZHANG J A, SWAIN A K, NGUANG S K. Robust sliding mode observer based fault estimation for certain class of uncertain nonlinear systems[J]. Asian Journal of Control, 2015, 17(4): 1296-1309. doi: 10.1002/asjc.987
|
[12] |
王发威, 董新民, 陈勇, 等. 多操纵面飞机舵面损伤的快速故障诊断[J]. 航空学报, 2015, 36(7): 2350-2360.
WANG F W, DONG X M, CHEN Y, et al. Fast fault diagnosis of multi-effectors aircraft with control surface damage[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(7): 2350-2360(in Chinese).
|
[13] |
HAJIYEV C, SOKEN H E. Robust adaptive Kalman filter for estimation of UAV dynamics in the presence of sensor/actuator faults[J]. Aerospace Science and Technology, 2013, 28(1): 376-383. doi: 10.1016/j.ast.2012.12.003
|
[14] |
李娟, 周东华, 司小胜, 等. 微小故障诊断方法综述[J]. 控制理论与应用, 2012, 29(12): 1517-1529.
LI J, ZHOU D H, SI X S, et al. Review of incipient fault diagnosis methods[J]. Control Theory & Applications, 2012, 29(12): 1517-1529(in Chinese).
|
[15] |
TAN C P, EDWARDS C. Sliding mode observers for detection and reconstruction of sensor faults[J]. Automatica, 2002, 38(10): 1815-1821. doi: 10.1016/S0005-1098(02)00098-5
|
[16] |
CEN Z H, NOURA H, SUSILO T B, et al. Robust fault diagnosis for quadrotor UAVs using adaptive thau observer[J]. Journal of Intelligent & Robotic Systems, 2014, 73(1): 573-588.
|
[17] |
LIU C, JIANG B, ZHANG K. Incipient fault detection using an associated adaptive and sliding-mode observer for quadrotor helicopter attitude control systems[J]. Circuits Systems and Signal Processing, 2016, 35(10): 3555-3574. doi: 10.1007/s00034-015-0229-8
|
[18] |
CHEN W T, SAIF M. Unknown input observer design for a class of nonlinear systems: An LMI approach[C]//2006 American Control Conference. Piscataway: IEEE Press, 2006.
|
[19] |
WU Y K, JIANG B, ZHOU D H, et al. ToMFIR-based detection and estimation for incipient actuator faults in a class of closed-loop nonlinear systems[J]. IFAC Proceedings Volumes, 2014, 47(3): 1096-1101. doi: 10.3182/20140824-6-ZA-1003.01095
|
[20] |
TANG Y, LI Y. Dynamic modeling for high-performance controller design of a UAV quadrotor[C]//IEEE International Conference on Information and Automation. Piscataway: IEEE Press, 2015: 3112-3117.
|
[21] |
ZHANG K, JIANG B, YAN X G, et al. Incipient fault detection based on robust threshold generators: A sliding mode interval estimation approach[J]. IFAC-Papers, 2017, 50(1): 5067-5672. doi: 10.1016/j.ifacol.2017.08.953
|
[22] |
KE Y J, WANG K L, CHEN B M. Design and implementation of a hybrid UAV with model-based flight capabilities[J]. IEEE/ASME Transactions on Mechatronics, 2018, 23(3): 1114-1125. doi: 10.1109/TMECH.2018.2820222
|
[23] |
SUN C Y, YIN Y Z, MA H J. A dynamic fault detection method for nonlinear process[C]//2021 IEEE 10th Data Driven Control and Learning Systems Conference. Piscataway: IEEE Press, 2021: 108-113.
|
[24] |
尹艳辉, 王付永, 刘忠信, 等. 带有完全分布式观测器的多智能体系统自适应容错一致性[J]. 控制理论与应用, 2021, 38(7): 1082-1090.
YIN Y H, WANG F Y, LIU Z X, et al. Fully distributed observer-based adaptive fault-tolerant consensus control for multi-agent systems[J]. Control Theory & Applications, 2021, 38(7): 1082-1090(in Chinese).
|
[25] |
ZHANG J Q, REN Z H, DENG C, et al. Adaptive fuzzy global sliding mode control for trajectory tracking of quadrotor UAVs[J]. Nonlinear Dynamics, 2019, 97(1): 609-627. doi: 10.1007/s11071-019-05002-9
|
[26] |
EDWARDS C, TAN C P. A comparison of sliding mode and unknown input observers for fault reconstruction[J]. European Journal of Control, 2006, 12(3): 245-260. doi: 10.3166/ejc.12.245-260
|
[27] |
NIAN X H, CHEN W Q, CHU X Y, et al. Robust adaptive fault estimation and fault tolerant control for quadrotor attitude systems[J]. International Journal of Control, 2020, 93(3): 725-737. doi: 10.1080/00207179.2018.1484573
|
[28] |
AVRAM R C, ZHANG X D, MUSE J. Quadrotor actuator fault diagnosis and accommodation using nonlinear adaptive estimators[J]. IEEE Transactions on Control Systems Technology, 2017, 25(6): 2219-2226. doi: 10.1109/TCST.2016.2640941
|
[29] |
TANG Y R, LI Y M. Dynamic modeling for high-performance controller design of a UAV quadrotor[C]//2015 IEEE International Conference on Information and Automation. Piscataway: IEEE Press, 2015: 3112-3117.
|
[30] |
DING S X. Model-based fault diagnosis techniques: Design schemes, algorithms and tools[M]. Berlin: Springer, 2013: 80-152.
|