Review on Fault Diagnosis Techniques for Closed-loop Systems
-
摘要: 本文着眼于闭环环境下动态系统中的故障诊断问题.介绍了目前闭环系统故障诊断的研究意义, 特别关注了开闭环故障诊断的不同,并概述了现有的闭环系统故障诊断方法. 通过仿真实验比较了典型开环系统和闭环系统中故障诊断的不同性能.最后探讨了闭环系统故障诊断研究中 亟待解决的问题以及未来可能的研究方向.Abstract: Fault diagnosis for closed-loop systems is reviewed in this paper. The research background of fault diagnosis problem for closed-loop systems is introduced, and special attentions are paid to the study on the differences between fault diagnosis for open-loop systems and closed-loop systems. Existing fault diagnosis methods for closed-loop systems are also summarized. Some simulation examples are employed to illustrate the different fault diagnosis performances between typical open-loop systems and closed-loop systems. Finally, some challenging problems and promising research directions are pointed out.
-
Key words:
- Closed-loop systems /
- feedback control /
- fault detection /
- fault isolation /
- fault diagnosis
-
[1] Mehra R K, Reschon J. An innovation approach to fault de-tection and diagnosis in dynamics. Automatica, 1971, 7(5):637-640 [2] Willsky A S. A survey of design methods for failure detectionin dynamic systems. Automatica, 1976, 12(6): 601-611 [3] Himmelblau D M. Fault Detection and Diagnosis in Chemi-cal and Petrochemical Process. Amsterdam: Elsevier Press,1978 [4] Frank P M. Fault diagnosis in dynamic-systems using ana-lytical and knowledge-based redundancy: a survey and somenew results. Automatica, 1990, 26(3): 459-474 [5] Zhou Dong-Hua, Wang Qing-Lin. The latest development ofmodel based fault diagnostics technique of control systems.Acta Automatica Sinica. 1995, 21(2): 244-248(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.自动化学报, 1995, 21(2): 244-248) [6] Frank P M, Ding S X. Survey of robust residual generationand evaluation methods in observer-based fault detectionsystems. Journal of Process Control, 1997, 7(6): 403-424 [7] Patton R J, Frank P M, Clark R N. Issues of Fault Diagnosisfor Dynamic Systems. London: Springer-Verlag, 2000 [8] Zhou Dong-Hua, Ye Yin-Zhong. Fault Diagnosis and Fault-Tolerant Control. Beijing: Tsinghua University Press, 2000(周东华, 叶银忠, 现代故障诊断与容错控制. 北京: 清华大学出版社, 2000) [9] Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri SN. A review of process fault detection and diagnosis part I:quantitative model-based methods. Computer and ChemicalEngineering, 2003, 27(3): 293-311 [10] Venkatasubramanian V, Rengaswamy R, Kavuri S N. A re-view of process fault detection and diagnosis part II: qualita-tive models and search strategies. Computer and ChemicalEngineering, 2003, 27(3): 313-326 [11] Venkatasubramanian V, Rengaswamy R, Kavuri S N, YinK. A review of process fault detection and diagnosis partIII: process history based methods. Computer and ChemicalEngineering, 2003, 27(3): 327-346 [12] Zhou Dong-Hua, Hu Yan-Yan. Fault diagnosis techniquesfor dynamic systems. Acta Automatica Sinica. 2009, 35(6):748-758(周东华, 胡艳艳. 动态系统的故障诊断技术. 自动化学报, 2009,35(6): 748-758) [13] Xing Yan,Wu Hong-Xin,Wang Xiao-Lei, Li Zhi-Bin. Surveyof fault diagnosis and fault-tolerance control technology forspacecraft. Journal of Astronautics, 2003, 24(3): 221-226(邢琰, 吴宏鑫, 王晓磊, 李智斌. 航天器故障诊断与容错控制技术综述. 宇航学报, 2003, 24(3): 221-226) [14] Bellini A, Filippetti F, Franceschini G, Tassoni C. Closed-loop control impact on the diagnosis of induction motorsfaults. IEEE Transactions on Industry Applications, 2000,36(5): 1318-1329 [15] Jiang Cang-Hua, Zhou Dong-Hua. Performance comparisonstudies of observer based fault detection methods for lin-ear systems. Computing Technology and Automation, 2005,22(2): 58-62(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. 计算技术与自动化, 2005, 22(2): 58-62) [16] Ge W, Fang C Z. Detection of faulty components via robustobservation. International Journal of Control, 1988, 47(2):581-599 [17] McNabb C A, Qin S J. Fault diagnosis in the feedback-invariant subspace of closed-loop systems. Industrial andEngineering Chemistry Research, 2005, 44(8): 2359-2368 [18] Niemann H H, Stoustrupt J. Robust fault detection in openloop vs. closed loop. In: Proceedings of the 36th IEEEConference on Decision and Control. San Diego, California,USA: IEEE, 1997. 4496-4497 [19] Ashari A E, Nikoukhahb R, Campbell S L. Effects of feed-back on active fault detection. Automatica, 2012, 48(5): 866-872 [20] Deshpande A P, Patwardhan S C, Narasimhan S S. Intelli-gent state estimation for fault tolerant nonlinear predictivecontrol. Journal of Process Control, 2009, 19(2): 187-204 [21] Georges J P, Theilliol D, Ponsart J C, Aubrun C. Networkedcontrol system with intermittent observations: FDI/FTCdesign based on interacting multiple model approach. In:Proceedings of the 17th Mediterranean Conference on Con-trol and Automation. Makedonia Palace, Thessaloniki,Greece: IEEE, 2009. 528-533 [22] Seron M M, Doná J A D. Actuator fault tolerant multi-controller scheme using set separation based diagnosis. In-ternational Journal of Control, 2010, 83(11): 2328-2339 [23] Li X J, Yang G H. Adaptive fault detection and isolationapproach for actuator stuck faults in closed-loop systems.International Journal of Control, Automation, and Systems,2012, 10(4): 830-834 [24] Tornil-Sin S, Theilliol D, Ponsart J C, Puig V. Admis-sible model matching using DR-regions: fault accommo-dation and robustness against FDD inaccuracies. Interna-tional Journal of Adaptive Control and Signal Process, 2010,24(11): 927-943 [25] Rahim M A, Khalid H M, Akram M, Khoukhi A, Cheded L,Doraiswami R. Quality monitoring of a closed-loop systemwith parametric uncertainties and external disturbances: afault detection and isolation approach. International Jour-nal of Advanced Manufacturing Technology, 2011, 55(1-4):293-306 [26] Šimandl M, Punčochář I. Active fault detection and control:unifed formulation and optimal design. Automatica, 2009,45(9): 2052-2059 [27] Niemann H. A setup for active fault diagnosis. IEEE Trans-actions on Automatic Control, 2006, 51(9): 1572-1578 [28] Wei J, Cen Z, Jian R. Sensor fault-tolerant observer appliedin satellite attitude control. Journal of Systems Engineeringand Electronics, 2012, 23(1): 99-107 [29] Li R, Olson J H. Fault detection and diagnosis in a closed-loop nonlinear distillation process: application of extendedKalman flters. Industrial and Engineering Chemistry Re-search, 1991, 30(5): 898-908 [30] Doraiswami R, Cheded L. Kalman flter for parametric faultdetection: an internal model principle-based approach. IETControl Theory and Applications, 2012, 6(5): 715-725 [31] Dong J, Verhaegen M. Identifcation of fault estimation fl-ter from I/O data for systems with stable inversion. IEEETransactions on Automatic Control, 2012, 57(6): 1347-1361 [32] Wu N E, Zhang Y, Zhou K. Detection, estimation, and ac-commodation of loss of control effectiveness. InternationalJournal of Adaptive Control and Signal Process, 2000,14(7): 775-795 [33] Chen X, Ma Y, Wang F, Geng Y. Research on improvedintegrated FDD/FTC with effectiveness factors. Journal ofSystems Engineering and Electronics, 2012, 23(5): 768-774 [34] Zhou D H, Frank P M. Actuator fault diagnosis of a classof nonlinear systems in closed-loops: a case study. In: Pro-ceedings of the 1996 International Conference on Control.Exeter, UK: UKACC, 1996. 311-316 [35] Zhou D H, Frank P M. Fault diagnostics and fault toler-ant control. IEEE Transactions on Aerospace and ElectronicSystems, 1998, 34(2): 420-427 [36] Zhong Mai-Ying, Zhang Cheng-Hui, Ding S X. An opti-mization approach to feedback controller and robust faultdetection flter integrated design, Acta Automatica Sinica,2004, 30(2): 294-299(钟麦英, 张承慧, Ding S X. 一种鲁棒故障检测与反馈控制的最优集成设计方法, 自动化学报, 2004, 30(2): 294-299) [37] Giridha A, El-Farra N H. A unifed framework for detection,isolation and compensation of actuator faults in uncertainparticulate processes. In: Proceedings of the 2008 AmericanControl Conference.Westin Seattle Hotel, Seattle, Washing-ton, USA: IEEE, 2008. 3313-3318 [38] Ghantasala S, El-Farra N H. Actuator fault detection andreconfguration in distributed processes with measurementsampling constraints. In: Proceedings of the 2009 AmericanControl Conference. Hyatt Regency Riverfront, St. Louis,MO, USA: IEEE, 2009. 1523-1529 [39] Ghantasala S, El-Farra N H. Robust actuator fault isolationand management in constrained uncertain parabolic PDEsystems. Automatica, 2009, 45(10): 2368-2373 [40] Yoo S J. Actuator fault detection and adaptive accommo-dation control of fexible-joint robots. IET Control Theoryand Applications, 2012, 6(10): 1497-1507 [41] Zhang K, Jiang B, Cocquempot V. Fast adaptive fault esti-mation and accomodation for nonlinear time-varying delaysystems. Asian Journal of Control, 2009, 11(6): 643-652 [42] Jiang B, Zhang K, Shi P. Less conservative criteria for faultaccommodation of time-varying delay systems using adap-tive fault diagnosis observer. International Journal of Adap-tive Control and Signal Processing, 2010, 24(4): 322-334 [43] Corradini M L, Cristofaro A, Giambõ R, Pettinari S. Designof robust fault detection flters for MIMO uncertain plantswith quantised information. International Journal of Con-trol, 2012, 85(3): 239-250 [44] HÄagglund T. A control-loop performance monitor. ControlEngineering Practice. 1995, 3(11): 1543-1551 [45] Márton L, Ossmann D. Energetic approach for control sur-face disconnection fault detection in hydraulic aircraft ac-tuators. In: Proceedings of the 2012 IFAC Symposium onFault Detection, Supervision and Safety of Technical Pro-cesses, Mexico City, Mexico: IFAC, 2012. 1149-1154 [46] Chang Y J, Lee C L, Chen J E, Su C. A behavior-level faultmodel for the closed-loop operational amplifer. Journal ofInformation Science and Engineering, 2000, 16(5): 751-766 [47] Alavi S M M, Izadi-Zamanabadi R, Hayes M J. Robust faultdetection and isolation technique for single-input/single-output closed-loop control systems that exhibit actuator andsensor faults. IET Control Theory and Applications, 2008,2(11): 951-965 [48] Faiz J, Ojaghi M. Instantaneous-power harmonics as indexesfor mixed eccentricity fault in mains-fed and open/closed-loop drive-connected squirrel-cage induction motors. IEEETransactions on Industrial Electronics, 2009, 56(11): 4718-4726 [49] Cheng S, Zhang P, Habetler T G. An impedance identifca-tion approach to sensitive detection and location of statorturn-to-turn faults in a closed-loop multiple-motor drive.IEEE Transactions on Industrial Electronics, 2011, 58(5):1545-1554 [50] Maurya M R, Paritosh P K, Rengaswamy R, Venkatasub-ramanian V. A framework for on-line trend extraction andfault diagnosis. Engineering Applications of Artifcial Intel-ligence, 2010, 23(6): 950-960 [51] Goharrizi A Y, Sepehri N. Internal leakage detection in hy-draulic actuators using empirical mode decomposition andHilbert spectrum. IEEE Transactions on Instruments andMeasurement, 2012, 61(2): 368-378 [52] Unver H O, Wendel G. A fuzzy quality control-decision sup-port system for improving operational reliability of liquidtransfer operations in laboratory automation. Expert Sys-tems with Applications, 2009, 36(4): 8064-8070 [53] Du Xin-Wei, Liu Di-Chen, Li Yuan, Xiong Yuan-Xin, WangXiao-Jun. Application of adaptive neuro-fuzzy inference sys-tem in power system fault recurrence. Power System Tech-nology, 2006, 30(6): 82-87(杜新伟, 刘涤尘, 李媛, 熊元新, 王晓君. 自适应神经模糊推理系统在电力故障重现中的应用. 电网技术, 2006, 30(6): 82-87) [54] Ballé P, Fuessel D. Closed-loop fault diagnosis based ona nonlinear process model and automatic fuzzy rule gen-eration. Engineering Applications of Artifcial Intelligence,2000, 13(6): 695-704 [55] Mirzaee A, Salahshoor K. Fault diagnosis and accommoda-tion of nonlinear systems based on multiple-model adaptiveunscented Kalman flter and switched MPC and H1 loop-shaping controller. Journal of Process Control, 2012, 22(3):626-634 [56] Aubrun C, Robert M, Cecchin T. Fault detection in a controlloop. Control Engineering Practice, 1995, 3(10): 1441-1446 [57] Zhang Y,Wang F, Hesketh T, Clements D J, Eaton R. Faultaccommodation for nonlinear systems using fuzzy adaptivesliding control. International Journal of Systems Science,2005, 36(4): 215-220 [58] Zhang Ying-Wei, Wang Xiao-Gang, Wang Fu-Li. Fault ac-commodation for nonlinear systems using fuzzy adaptivesliding control. Control and Decision, 2005, 20(4): 408-412(张颖伟, 王小刚, 王福利. 基于模糊自适应滑模的非线性系统的故障调节. 控制与决策, 2005, 20(4): 408-412) [59] Huo B, Tong S, Li Y. Observer-based adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear sys-tems with actuator faults. International Journal of Control,Automation, and Systems, 2012, 10(6): 1119-1128 [60] Liu Chun-Sheng, Ai Qiang-Yu. Fault detection based on T-S fuzzy model for networked control systems. Control Engi-neering of China, 2009, 16(6): 775-779(刘春生, 艾强玉. 基于T-S 模型的网络控制系统故障诊断. 控制工程, 2009, 16(6): 775-779) [61] Tian E, Yue D. Reliable H1 flter design for T-S fuzzymodel-based networked control systems with random sen-sor failure. International Journal of Robust and NonlinearControl, 2013, 23(1): 15-32 [62] Tallam R M, Habetler T G, Harley R G. Stator windingturn-fault detection for closed-loop induction motor drives.IEEE Transactions on Industry Applications, 2003, 39(3):720-724 [63] Zhang Ying-Wei, Wang Fu-Li, Yu Ge. Fault accomodationfor a class of nonlinear systems using a learning approach.Acta Automatica Sinica, 2004, 30(5): 758-762(张颖伟, 王福利, 于戈. 基于一个学习逼近的非线性系统的故障调节. 自动化学报, 2004, 30(5): 758-762) [64] Thumati B T, Jagannathan S. A model based fault detectionand accommodation scheme for nonlinear discrete-time sys-tems with asymptotic stability guarantee. In: Proceedingsof the 2009 American Control Conference. Hyatt RegencyRiverfront, St. Louis, MO, USA: IEEE, 2009. 4988-4993 [65] Zhang Y, Qin S J. Adaptive actuator fault compensation forlinear systems with matching and unmatching uncertainties.Journal of Process Control, 2009, 19(6): 985-990 [66] Hu Liang-Mou, Cao Ke-Qiang, Xu Hao-Jun, Dong Xin-Min.Research on fault diagnosis for closed-loop control systembased on weighted LS-SVM. Machine Tool and Hydraulics,2010, 38(9): 128-131(胡良谋, 曹克强, 徐浩军, 董新民. 基于加权LS-SVM 的闭环控制系统故障诊断研究. 机床与液压, 2010, 38(9): 128-131) [67] Hu Liang-Mou, Cao Ke-Qiang, Xu Hao-Jun. Multi-fault di-agnosis for electro hydraulic position servo system based onLS-SVM. Journal of System Simulation, 2007, 19(10): 2252-2255(胡良谋, 曹克强, 徐浩军. 基于LS-SVM 的电液位置伺服系统多故障诊断. 系统仿真学报, 2007, 19(10): 2252-2255) [68] Bo Cui-Mei, Li Jun, Zhang Guang-Ming, Yang Hai-Rong.Application of fault detection based on adaptive thresholdin the DAMDICS benchmark problem. Computer IntegratedManufacturing Systems, 2010, 16(6): 1279-1285(薄翠梅, 李俊, 张广明, 杨海荣. 自适应阈值故障检测方法在DAMADICS 基准平台中的应用. 计算机集成制造系统, 2010,16(6): 1279-1285) [69] Zhang K, Jiang B, Shi P. Observer-based integrated robustfault estimation and accommodation design for discrete-time systems. International Journal of Control, 2010, 83(6):1167-1181 [70] The Authoritative Dictionary. IEEE Standard 100, 2000 [71] Correcher A, Garcia E, Morant F, Quiles E, Rodriguez L.Intermittent failure dynamics characterization. IEEE Trans-actions on Reliability, 2012, 61(3): 649-658 [72] Liu J X, Zhang X. Detection method of intermittent faults inelectronic systems based on Markov model. In: Proceedingsof the 2011 International Symposium on Computational In-telligence and Design. Hangzhou, China: IEEE, 2011. 216-219
点击查看大图
计量
- 文章访问数: 3278
- HTML全文浏览量: 300
- PDF下载量: 4274
- 被引次数: 0