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
刘洋
LIU Yang
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。
中图分类号:
[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. |
[1] | 杨瑞. 基于稀疏表示的间歇故障检测方法及仿真[J]. 山东大学学报(工学版), 2017, 47(5): 51-56. |
[2] | 李洪阳,何潇. 基于SCKF方法的非线性随机动态系统故障诊断方法[J]. 山东大学学报(工学版), 2017, 47(5): 130-135. |
[3] | 陈志文, 彭涛, 阳春华, 何章鸣,杨超, 杨笑悦. 基于改进的典型相关分析的故障检测方法[J]. 山东大学学报(工学版), 2017, 47(5): 44-50. |
[4] | 张米露,王天真,汤天浩,辛斌. 一种模式关联主元分析的海流机故障检测方法[J]. 山东大学学报(工学版), 2017, 47(5): 123-129. |
[5] | 陈杰,钟麦英,张利刚. 基于L2范数最小估计的无人机飞控系统故障检测[J]. 山东大学学报(工学版), 2017, 47(5): 89-95. |
[6] | 赵煊,钟麦英,郭丁飞. 基于等价空间的无人机飞行控制系统故障检测[J]. 山东大学学报(工学版), 2017, 47(5): 150-156. |
[7] | 贾丹丹, 魏爱荣. 具有执行器饱和耗散Hamilton系统的镇定分析[J]. 山东大学学报(工学版), 2014, 44(5): 20-28. |
[8] | 赵永清, 江明辉. 混合变时滞二重边复杂网络自适应同步反馈控制[J]. 山东大学学报(工学版), 2010, 40(3): 61-68. |
[9] | 孙炜伟,王玉振. 考虑饱和的发电机单机无穷大系统有限增益镇定[J]. 山东大学学报(工学版), 2009, 39(1): 69-76. |
[10] | 魏爱荣,赵克友, . 扩大饱和不确定系统吸引域的线性矩阵不等式方法不等式方法[J]. 山东大学学报(工学版), 2006, 36(3): 30-33 . |
[11] | 季涛,孙同景,徐丙垠,孙波 . 直流系统接地故障综合检测方法[J]. 山东大学学报(工学版), 2006, 36(1): 55-59 . |
|