基于高增益鲁棒滑模观测器的故障检测和隔离

杨俊起; 朱芳来

doi:10.3724/SP.J.1004.2012.02005

基于高增益鲁棒滑模观测器的故障检测和隔离

doi: 10.3724/SP.J.1004.2012.02005

杨俊起^1,2,
朱芳来^1,

1.
同济大学电子与信息工程学院上海 201804;
2.
河南理工大学电气工程与自动化学院焦作 454000

详细信息

通讯作者:
朱芳来

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- 文章访问数: 1860
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- 被引次数: 0
出版历程
- 收稿日期: 2012-03-19
- 修回日期: 2012-07-03
- 刊出日期: 2012-12-20

FDI Based on High-gain Robust Sliding Mode Observers

YANG Jun-Qi^1,2,
ZHU Fang-Lai^1
,

1.
College of Electronics and Information Engineering, Tongji University, Shanghai 201804;
2.
College of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000

摘要

摘要: 针对一类同时具有执行器和传感器故障的不确定线性系统,讨论了基于观测器的故障检测和隔离方法.首先,通过引入增维向量,使得在构造的增维系统中,故障向量包含了原系统的执行器故障和传感器故障.通过构造辅助输出使增维系统的观测器匹配条件得以满足,同时设计高增益滑模观测器对辅助输出进行估计.然后,对增维系统构造鲁棒滑模观测器并用作故障检测观测器,通过滑模控制项来抑制干扰,使观测器具有鲁棒性.在此基础上,结合多观测器故障隔离思想,提出了可以同时对执行器故障和传感器故障进行检测和隔离的方法. 最后,通过对一个五阶飞行器模型进行仿真,证明了所提方法的有效性.
- 故障检测 /
- 故障隔离 /
- 滑模观测器 /
- 辅助输出
Abstract: This paper considers the problems of actuator and sensor fault detection and isolation for a class of uncertain linear systems. By introducing an augmented vector, an augmented system which contains a fault vector consisting of both the actuator and sensor faults of original system is constructed. An auxiliary output vector is proposed so that the observer matching condition for the new augmented system is satisfied. A high-order sliding mode observer is considered to obtain the exact estimates of the auxiliary outputs. Then, a robust sliding mode observer is developed as fault detection observer to detect actuator and sensor faults. Furthermore, multi-observers are used for the actuator and sensor fault isolation purpose. Finally, a numerical simulation example is given to show the effectiveness of the proposed methods.
- Fault detection /
- fault isolation /
- sliding mode observer /
- auxiliary outputs

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参考文献(1)

[1]

Zhang X D, Polycarpou M M, Parisini T. Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation. Automatica, 2010, 46(2): 290-299[2] Wang H, Huang Z J, Daley S. On the use of adaptive updating rules for actuator and sensor fault diagnosis. Automatica, 1997, 33(2): 217-225[3] Veluvolu K C, Soh Y C. Fault reconstruction and state estimation with sliding mode observers for Lipschitz non-linear systems. IET Control Theory and Applications, 2011, 5(11): 1255-1263[4] Veluvolu K C, Soh Y C. Discrete-time sliding-mode state and unknown input estimations for nonlinear systems. IEEE Transactions on Industrial Electronics, 2009, 56(9): 3443-3452[5] Tan C P, Edwards C. Sliding mode observers for detection and reconstruction of sensor faults. Automatica, 2002, 38(10): 1815-1821[6] Chen W T, Saif M. Actuator fault diagnosis for uncertain linear systems using a high-order sliding-mode robust differentiator (HOSMRD). International Journal of Robust and Nonlinear Control, 2008, 18(4-5): 413-426[7] Ng K Y, Tan C P, Edwards C, Kuang Y C. New results in robust actuator fault reconstruction for linear uncertain systems using sliding mode observers. International Journal of Robust and Nonlinear Control, 2007, 17(14): 1294-1319[8] Tan C P, Edwards C. Robust fault reconstruction in uncertain linear systems using multiple sliding mode observers in cascade. IEEE Transactions on Automatic Control, 2010, 55(4): 855-867[9] Chen W, Saif M. Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems. IET Control Theory and Applications, 2007, 1(6): 1672-1680[10] Gao Z W, Ding S X. Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems. Automatica, 2007, 43(5): 912-920[11] Gao Z W. PD observer parametrization design for descriptor systems. Journal of the Franklin Institute, 2005, 342(5): 551-564[12] Gao Z W, Breikin T, Wang H. High-gain estimator and fault-tolerant design with application to a gas turbine dynamic system. IEEE Transactions on Control Systems Technology, 2007, 15(4): 740-753[13] Corless M, Tu J. State and input estimation for a class of uncertain systems. Automatica, 1998, 34(6): 757-764[14] Khalil H K. Nonlinear Systems (Third edition). Beijing: Publishing House of Electronics Industry, 2007[15] Floquet T, Edwards C, Sprugeon S K. On sliding mode observers for systems with unknown inputs. International Journal of Adaptive Control and Signal Processing, 2007, 21(8-9): 638-656[16] Levant A. Higher-order sliding modes, differentiation and output-feedback control. International Journal of Control, 2003, 76(9-10): 924-941[17] Fridman L, Davila J, Levant A. High-order sliding-mode observation for linear systems with unknown inputs. Nonlinear Analysis: Hybrid Systems, 2011, 5(2): 189-205[18] Bejarano F J, Fridman L. High order sliding mode observer for linear systems with unbounded unknown inputs. International Journal of Control, 2010, 83(9): 1920-1929[19] Shtessel Y B, Baev S, Edwards C, Spurgeon S K. HOSM observer for a class of non-minimum phase causal nonlinear MIMO systems. IEEE Transactions on Automatic Control, 2010, 55(2): 543-548[20] Edwards C, Spurgeon S K. On the development of discontinuous observers. International Journal of Control, 1994, 59(5): 1211-1229

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