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山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 38-43.doi: 10.6040/j.issn.1672-3961.0.2017.182

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乘性故障对开闭环系统故障诊断性能的影响

刘洋   

  1. 山东科技大学电气与自动化工程学院, 山东 青岛 266590
  • 收稿日期:2017-02-10 出版日期:2017-10-20 发布日期:2017-02-10
  • 作者简介:刘洋(1988— ),男,辽宁海城人,博士后,主要研究方向为最优滤波,闭环系统,故障检测与诊断.E-mail:lianinliyan@163.com
  • 基金资助:
    中国博士后科学基金资助项目(2016M600546);青岛市博士后研究人员应用研究资助项目(2016112)

Effects of multiplicative actuator faults on the fault diagnosis performance in open-loop and closed-loop systems

LIU Yang   

  1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • Received:2017-02-10 Online:2017-10-20 Published:2017-02-10

摘要: 研究线性系统中执行器乘性故障分别对于开闭环系统故障诊断的影响。真实系统由于稳定性、鲁棒性等要求通常受到控制信号的作用。在执行器发生故障时,控制信号与残差信号无法完全解耦,故障幅值也会不可避免的对故障诊断性能带来影响。建立线性离散系统中执行器乘性故障模型,采用Luenburger观测器方法生成残差,通过分析故障情况下系统残差的一步转移方程递推表达式,研究开闭环系统中故障情况下估计误差信号和残差信号的动态演化规律。利用三角不等式得到开闭环情况下残差信号发散和收敛的条件,该条件与乘性故障的不同幅值紧密相关。仿真试验中通过选取不同幅值的执行器乘性故障说明该分析的有效性。

关键词: 执行器, 反馈控制, 乘性故障, 故障检测, 闭环系统

Abstract: The effects of multiplicative actuator faults on the fault diagnosis performance in both open-loop and closed-loop systems were investigated. Practical systems were usually subject to control inputs owing to the stability and robustness requirements. When multiplicative actuator faults were encountered, control signals could not be completely decoupled from the residual signals and the faults would unavoidably influence the fault diagnosis performance. The actuator faults were modeled for linear discrete systems and the Luenburger observer was used to generate the residual signals. By studying the one-step state transfer equation and the triangle inequality, the dynamics of the estimation error and residual was discussed and the conditions under which the open-loop and closed-loop residuals were bounded were established which were dependent on the amplitudes of the possible faults. Some numerical examples were provided to show the effectiveness of the proposed analysis for actuator faults with different amplitudes.

Key words: actuator, closed-loop system, multiplicative fault, fault detection, feedback control

中图分类号: 

  • TU457
[1] MEHRA R K, PESCHON J. An innovations approach to fault detection and diagnosis in dynamic systems[J]. Automatica, 1971, 7(5):637-640.
[2] WILLSKY A S. A survey of design methods for failure detection in dynamic systems[J]. Automatica, 1976, 12(6):601-611.
[3] 周东华, 王庆林. 基于模型的控制系统故障诊断技术的最新进展[J]. 自动化学报, 1995, 21(2): 244-248. ZHOU Donghua, WANG Qinglin. Recent development on model-based fault diagnosis technology for control systems[J]. Acta Automatica Sinica, 1995, 21(2):244-248.
[4] FRANK P M. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: a survey and some new results[J]. Automatica, 1990, 26(3):459-474.
[5] FRANK P M, DING S X. Survey of robust residual generation and evaluation methods in observer-based fault detection systems[J]. Journal of Process Control, 1997, 7(6): 403-424.
[6] 周东华, 叶银忠. 现代故障诊断与容错控制[M]. 北京:清华大学出版社, 2000.
[7] 周东华, 胡艳艳. 动态系统的故障诊断技术[J]. 自动化学报, 2009, 35(6): 748-758. ZHOU Donghua, HU Yanyan. Fault diagnosis techniques for dynamic systems[J]. Acta Automatica Sinica, 2009, 35(6): 748-758.
[8] 周东华, 史建涛, 何潇. 动态系统间歇故障诊断技术综述[J]. 自动化学报, 2014, 40(2): 161-171. ZHOU Donghua, SHI Jiantao, HE Xiao. Review of intermittent fault diagnosis techniques for dynamic systems[J]. Acta Automatica Sinica, 2014, 40(2):161-171.
[9] 姜苍华, 周东华. 基于观测器的线性系统故障检测方法性能比较研究[J]. 计算技术与自动化, 2005, 22(2): 58-62. JIANG Canghua, Zhou Donghua. Performance comparison studies of observer based fault detection methods for linear systems[J]. Computing Technology and Automation, 2005, 22(2): 58-62.
[10] 周东华, 刘洋, 何潇. 闭环系统故障诊断技术综述[J]. 自动化学报, 2013, 39(11): 1933-1943. ZHOU Donghua, LIU Yang, HE Xiao. Review on fault diagnosis techniques for closed-loop systems[J]. Acta Automatica Sinica, 2013, 39(11): 1933-1943.
[11] BELLINI A, FILIPPETTI F, FRANCESCHINI G, et al. Closed-loop control impact on the diagnosis of induction motors faults[J]. IEEE Transactions on Industry Applications, 2000, 36(5):1318-1329.
[12] MCNABB C A, QIN S J. Fault diagnosis in the feedback-invariant subspace of closed-loop systems[J]. Industrial and Engineering Chemistry Research, 2005, 44(8):2359-2368.
[13] ESNA A A, NIKOUKHAH R, CAMPBELL S L. Effects of feedback on active fault detection[J]. Automatica, 2012, 48(5):866-872.
[14] 邢琰, 吴宏鑫, 王晓磊, 等. 航天器故障诊断与容错控制技术综述[J]. 宇航学报, 2003, 24(3): 221-226. XING Yan, WU Hongxin, WANG Xiaolei, et al. Review on fault diagnosis and fault tolerant control for spacecraft systems[J]. Journal of Astronautics, 2003, 24(3): 221-226.
[15] RIOS H, DAVILA J, FRIDMAN L, et al. Fault detection and isolation for nonlinear systems via high-order-sliding-mode multiple-observer[J]. International Journal of Robust and Nonlinear Control, 2015, 25(16): 2871-2893.
[16] LI X, ZHU F. Simultaneous time-varying actuator and sensor fault reconstruction based on PI observer for LPV systems[J]. International Journal of Adaptive Control and Signal Processing, 2015, 29(9):1086-1098.
[17] HASSANABADIA A H, SHAFIEEA M, PUIG V. UIO design for singular delayed LPV systems with application to actuator fault detection and isolation[J]. International Journal of Systems Science, 2016, 47(1):107-121
[18] LUENBERGER D G. An introduction to observers[J]. IEEE Transactions on Automatic Control, 1971, 16(6): 596-602.
[19] ZEITZ M. The extended Luenberger observer for nonlinear-systems[J]. Systems and Control Letters, 1987, 9(2):149-156.
[20] CICCARELLA G, DALLAMORA M, GERMANI A. A luenberger-like observer for nonlinear-systems[J]. International Journal of Control, 1993, 57(3):537-556.
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