Incipient fault detection of linear system with disturbance

被引:0
作者
Liu, Chun [1 ]
Jiang, Bin [1 ]
Zhang, Ke [1 ]
Wu, Yun-Kai [1 ]
机构
[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2015年 / 49卷 / 06期
关键词
Adaptive and sliding mode observer; Coordinate transformation; Detetion of incipient fault;
D O I
10.16183/j.cnki.jsjtu.2015.06.025
中图分类号
学科分类号
摘要
A synthesized adaptive and sliding-mode observer (SMO) was designed for the incipient fault in a class of linear system with unknown disturbance, which can not only estimate the incipient fault, but also have strong robustness against unknown disturbances. The linear system was transformed by coordinate transformation into two subsystems, one of which was free from disturbances and an adaptive observer is designed to estimate the incipient fault, the other of which was affected by disturbances and incipient faults and a sliding mode observer is designed to eliminate the effect of unknown disturbances and ensure the robustness of the system. Simulation results of the quadrotor helicopter verify the efficiency of the proposed adaptive and sliding-mode observer-based incipient fault detection algorithm. ©, 2015, Shanghai Jiao Tong University. All right reserved.
引用
收藏
页码:889 / 896
页数:7
相关论文
共 16 条
[1]  
Wang H., Daley S., Actuator fault diagnosis: An adaptive observer-based technique, IEEE Transactions on Automatic Control, 41, 7, pp. 1073-1078, (1996)
[2]  
Gholami A., Markazi A.H.D., A new adaptive fuzzy sliding mode observer for a class of MIMO nonlinear systems, Nonlinear Dynamics, 70, 3, pp. 2095-2105, (2012)
[3]  
Gao C.-Y., Duan G.-R., Robust adaptive fault estimation for a class of nonlinear systems subject to multiplicative faults, Circuit, Systems, and Signal Processing, 31, 6, pp. 2035-2046, (2012)
[4]  
Jiang B., Staroswiecki M., Cocquempot V., Fault estimation in nonlinear uncertain systems using robust sliding-mode observers, IET Control Theory & Application, 151, 1, pp. 29-37, (2004)
[5]  
Li J., Zhou D.-H., Si X.-S., Review of incipient fault diagnosis methods, Control Theory and Application, 29, 12, pp. 1517-1529, (2012)
[6]  
Chen Y., Hu C.-H., Zhou Z.-J., Et al., Method of improving square-root center difference Kalman filter with application to incipient failure detection, Acta Automatica Sinica, 39, 10, pp. 1703-1713, (2013)
[7]  
Jiang B., Wang J.-L., Soh Y.-C., An adaptive technique for robust diagnosis of faults with independent effects on system outputs, International Journal of Control, 75, 11, pp. 792-802, (2002)
[8]  
Zhang K., Jiang B., Shi P., Fast fault estimation and accommodation for dynamical systems, IET Control Theory and Applications, 3, 2, pp. 189-199, (2009)
[9]  
Zhang K., Jiang B., Fault diagnosis observer-based output feedback fault tolerant control design, Acta Automatica Sinica, 36, 2, pp. 274-281, (2010)
[10]  
Chen W., Chowdhury F.N., A synthesized design of sliding mode and Luenberger observers for early detection of incipient faults, International Journal of Adaptive Control and Signal Processing, 24, 12, pp. 1021-1035, (2010)