期刊文献+

基于观测器的传感器故障重构方法及其应用 被引量:3

Observer-based Sensor Fault Reconstruction Method and Its Application
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摘要 针对一类不确定非线性系统,并考虑含有未知输入扰动,提出了一种传感器故障重构方案。首先引入一个新的状态变量将传感器故障等效为执行器故障;然后利用滑模变结构中的等值控制方法设计了状态观测器,消除了未知输入扰动对系统的影响;再采用自适应方法实现了对故障的重构。最后将本文提出的方法在火炮伺服系统中应用,表明了该方法的有效。 A sensor faults reconstruction proposal for a class of uncertain nonlinear system with un- known input disturbances was presented. The sensor fault was equated to the actuator one by a new introduced state variable; a state observer based on sliding mode variable structure theory was designed with specific equivalent control methodology, in order to eliminate the effects of unknown disturbances on the system; the faults were reconstructed by means of adaptive method. Results of numerical simulations on the artillery position servo system verify the validity of the proposed approaches.
出处 《兵工学报》 EI CAS CSCD 北大核心 2009年第6期672-676,共5页 Acta Armamentarii
基金 国家自然科学基金(60835004&60774069) 湖南省自然科学基金资助项目(07JJ3118)
关键词 自动控制技术 故障的重构 观测器 滑模 火炮位置伺服系统 automatic control technology fault reconstruction observers sliding mode artillery position servo system
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参考文献16

  • 1Frank P M, Ding 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.
  • 2Garcla E Alcorta, Frank P M. Deterministic nonlinear observerbased approaches to fault diagnosis: a survey [ J ]. Control Engineering Practice, 1997, 5(5) : 663 - 670.
  • 3Yan X G, Edwards C. Nonlinear robust fault reconstruction and estimation using a sliding mode observer[J ]. Automatica, 2007, 43(9) : 1605- 1614.
  • 4Sreedhar R, FernaHndez B, Masada G.. Robust fault detection in nonlinear systems using sliding mode observers [ C]//Proceedings of the IEEE Conference on Control Applications, 1993, 715 - 721.
  • 5Hermans F, Zarrop M. Sliding mode observers for robust sensor monitoring[C]//Proceedings of the 13th IFAC World Congress, 1996, 211-216.
  • 6Kok Yew Ng, Chee Pin Tan, C Edwards, Ye Chow Kuang. New results in robust actuator fault reconstruction for linear uncertain systems using sliding mode observers[J ]. Int. Journal of Robust and Nonlinear Control, 2007, 17:1294 - 1319.
  • 7Floquet T, Barbot J P, Perruquetti W, et al. On the robust fault detection via a sliding mode disturbance observer[J]. International Journal of Control, 2004,10:622 - 629.
  • 8Weitian Chen, Mehrdad Sail. Sliding Mode Output Estimator Based Fault Detection, Isolation and Estimation for Systems with Unmatched Unknown Inputs[C]//Proceedings of the 2006 IEEE International Conference on Control Applications, 2006, 4 - 6.
  • 9Yan X G, Edwards C. Nonlinear robust fault reconstruction and estimation using a sliding mode observer [ J ]. Automatica, 2007, 43 : 1605 - 1614.
  • 10Wen Chen, Fahmida N Chowdhury. Design of Sliding Mode Observers with Sensitivity to Incipient Faults[ C] // 16th IEEE International Conference on Control Applications. 2007, 795 - 800.

二级参考文献14

  • 1[1]Young K D, UtKin. Y I . A control engineer's guide to sliding mode control[J]. IEEE Trans. On Control Systems Technology, 1999, 7(3): 328-342.
  • 2[2]Chen X, Fukuda T. Adaptive quasi-sliding mode control[J]. Int. J. Control, 1999, 72(2):133-140.
  • 3[3]Eun Y, Cho D D. Robustness of multivariable discrete-time variable structure control[J]. Int. J. Control, 1999, 72(12):1106-1115.
  • 4[4]Gao W B, Wang Y F, Homaifa A. Discrete-time variable structure control systems[J]. IEEE Trans. on Industric Electronics., 1995, 42(2): 117-122.
  • 5[5]Tarek A A, Francoise L L. Sliding observer-controller design for uncertain triangular nonlinear systems[J]. IEEE Trans. on Automatic Control, 1999, 44(6):1244-1249.
  • 6[6]Bartoszewicz A. Remarks on discrete-time variable structure control system[J]. IEEE Trans. on Industric Electronics, 1996, 43(1):235-238.
  • 7[7]王耀南(Wang Yaonan). 智能控制系统(Intelligent control system)[M]. 长沙:湖南大学出版社(Changsha:Hunan University Press),1996.
  • 8[8]Lin F J, Chiu S L, Shyu K K. Novel sliding mode controller for synchronous motor drive[J]. IEEE Trans. On Aerospace and Electronic Systems, 1998,34(2):532 -542.
  • 9Chen J,Patton R J.Robust model-based fault diagnosis for dynamic system[M].London:Kluwer Academic Publishers,1999:65-108.
  • 10Henry D,Zolghadri A,Castang F,et al.A new multi-objective filter design for guaranteed robust FDI performance[C].Proceedings of 40th IEEE on Conference on Decision & Control.Orlando,Florida,2001:173-178.

共引文献76

同被引文献25

  • 1贾明兴,王福利,何大阔.基于RBF神经网络的传感器非线性故障鲁棒诊断[J].东北大学学报(自然科学版),2004,25(8):719-722. 被引量:5
  • 2冒泽慧,姜斌.基于自适应观测器的MIMO系统执行器故障调节[J].山东大学学报(工学版),2005,35(3):17-19. 被引量:4
  • 3姜云春,邱静,刘冠军,钱彦岭.基于最优未知输入观测器的BIT降虚警技术[J].国防科技大学学报,2005,27(6):97-100. 被引量:4
  • 4刘小雄,章卫国,武燕,黄宜军.基于鲁棒自适应观测器的飞控系统传感器故障隔离与重构[J].传感技术学报,2006,19(6):2437-2440. 被引量:6
  • 5Zhang K, Jiang B, Shi P. Fauh estimation observer design for dis- crete-time Takagi-Sugeno fuzzy systems based on piecewise Lya- punov functions [ J]. IEEE Transactions on Fuzzy Systems, 2012, 20(l) : 192 -200.
  • 6Gao Z F, Jiang B, Shi P, et al. Fault-tolerant control for a near space vehicle with a stuck actuator fault based on a Takagi-Sugeno fuzzy model [ J]. Proceedings of the Institution of Mechanical En- gineers, Part I: Journal of Systems and Control Engineering, 2010, 24(5) :587 -598.
  • 7Zhang Z D, Hu S S. A new method for fault prediction of model- unknown nonlinear system [ J]. Journal of the Franklin Institute, 2008, 3,45(2): 136-153.
  • 8Zhang X D, Polycarpou M M, Parisini P. Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities u- sing adaptive estimation [J]. Automatica, 2010, 46(2) : 290 - 299.
  • 9Tan C P, Edwards C. Robust fault reconstruction in uncertain lin- ear systems using multiple sliding mode observers in cascade [ J]. IEEE Transactions on Automatic Control, 2010, 55 (4) : 855 - 880.
  • 10Wu Q, Mehrdad S. Robust fault diagnosis of a satellite system using a learning strategy and second order sliding mode observer [ J]. IEEE Systems Journal, 2010, 4(1) : 112 - 121.

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