CN
Volume 43 Issue 5
Oct.  2014
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHENG Lingxiao, LIU Shiqian, LI Yuanxiang, LUO Jianhua, YI Jianchen. LPV Robust Filter Based Fault Detection of the Actuators for a Jumbo Jet Transport Aircraft[J]. INFORMATION AND CONTROL, 2014, 43(5): 596-603,611. DOI: 10.13976/j.cnki.xk.2014.0596
Citation: ZHENG Lingxiao, LIU Shiqian, LI Yuanxiang, LUO Jianhua, YI Jianchen. LPV Robust Filter Based Fault Detection of the Actuators for a Jumbo Jet Transport Aircraft[J]. INFORMATION AND CONTROL, 2014, 43(5): 596-603,611. DOI: 10.13976/j.cnki.xk.2014.0596
shu

LPV Robust Filter Based Fault Detection of the Actuators for a Jumbo Jet Transport Aircraft

  • School of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai 200240, China

More Information
  • Received Date: September 12, 2013
  • Revised Date: March 25, 2014
  • Published Date: October 19, 2014
    Graphical Abstract
    • Abstract
  • A robust fault detection filter design method for faults in the actuator of a jumbo jet transport aircraft is proposed by considering how the structural parameters of the transport aircraft plant and its flight control system vary with flight altitude and Mach number, and how the measure signals are disrupted by noise. The objective is to find a parameter-vaying filter that makes the residual system fulfill a parameter varying mixed H∞/H- index. Using loop-shaping theory, the mixed index is transformed into a parameter-varying H∞ index. The LFT tool is then employed to transform the above problem into a H∞ robust performance problem for an LTI system with structured uncertainty, and the sufficient conditions for the existence of the filter are achieved via scaled bounded real lemmas. The parameters of the LPV filter for fault detection are obtained by the Matlab SDP toolbox. This LPV filter has the same varying parameter structure as the monitored plant, and it has adaptive capability for the varying parameters. Finally, a simulation example of the elevator surface injury of a B747-100/200 jumbo jet is illustrated to demonstrate the practical effect of the proposed approach.
    • FullText(HTML)
    • References (20)
  • [1]
    陈玉东, 施颂椒, 翁正新. 动态系统的故障诊断方法综述[J]. 化工自动化及仪表, 2001, 28(3): 1-14. Chen Y D, Shi S J, Weng Z X. A survey of dynamic system fault detection method[J]. Control and Instruments in Chemical Industry, 2001, 28(3): 1-14.
    [2]
    Liu J, Wang J L, Yang G H. An LMI approach to minimum sensitivity analysis with application to fault detection[J]. Automatica, 2005, 41(11): 1995-2004.
    [3]
    Zhang P, Ding S X. An integrated trade-off design of observer based fault detection systems[J]. Automatica, 2008, 44(7): 1886-1894.
    [4]
    Chen J, Patton R J. Robust model-based fault diagnosis for dynamic systems [M]. Rotterdam, Netherlands: Kluwer Academic Publishers, 1999.
    [5]
    Ding S X, Jeinschl T, Frank P M. A unified approach to the optimization of fault detection systems[J]. International Journal of Adaptive Control and Signal Processing, 2000, 14(7): 725-745.
    [6]
    Wang J L, Yang G H, Liu J. An LMI approach to H-index and mixed H-/H∞fault detection observer design[J]. Automatica, 2007, 43(9): 1656-1665.
    [7]
    Henry D, Zolghadri A. Design of fault diagnosis filters: A multi-objective approach[J]. Journal of the Franklin Institute, 2005, 342(4): 421-446.
    [8]
    Henry D, Zolghadri A. Fault diagnosis for LPV systems[C]//2008 16th IEEE Mediterranean Conference on Control and Automation. Piscatavoay, NJ, USA: IEEE, 2008: 261-266.
    [9]
    Wei X, Verhaegen M. LMI solutions to the mixed H-/H∞fault detection observer design for linear parameter-varying systems[J]. International Journal of Adaptive Control and Signal Processing, 2011, 25(2): 114-136.
    [10]
    Edwards C, Lombaerts T, Smaili H. Fault tolerant flight control: A benchmark challenge[M]. Berlin, Germary: Springer, 2010.
    [11]
    Marcos A, Ganguli S, Balas G J. An application of H∞ fault detection and isolation to a transport aircraft[J]. Control Engineering Practice, 2005, 13（1）: 105-119.
    [12]
    Sename O, Gaspar P, Bokor J. Robust control and linear parameter varying appoaches: Application to vehicle dynamics[M]. Berlin, Germany: Springer, 2013: 147-156.
    [13]
    Bokor J, Balas G. Detection filter design for LPV systems-A geometric approach[J]. Automatica, 2004, 40（3）: 511-518.
    [14]
    Szaszi A, Marcos G J, Balas J. LPV detection filter design for a Boeing 747-100/200 aircraft[J]. Journal of Guidance, Dynamics and Control, 2005, 28（3）: 461-470.
    [15]
    Vanek B, Szabó Z, Edelmayer A. Geometric LPV fault detection filter design for commercial aircrafts[C]//AIAA Guidance, Navigation, and Control Conference. San Francisco, CA, USA: AIAA, 2011.
    [16]
    周克敏. 鲁棒与最优控制[M]. 北京: 国防工业出版社, 2006: 157-161.
    Zhou K M. Robust and optimal control[M]. Beijing: National Defence Industry Press, 2006: 157-161.
    [17]
    Saussi D, Saydy L. Gain scheduling with guardian maps for longitudinal flight control[J]. Journal of Guidance, Control, and Dnamics, 2011, 34（4）: 1045-1059.
    [18]
    Apkarian P, Gahinet P. A convex characterization of gain-scheduled H∞controllers[J]. IEEE Transactions on Automatic Control, 1995, 40（5）: 853-864.
    [19]
    俞立. 鲁棒控制: 线性矩阵不等式处理方法[M]. 北京: 清华大学出版社, 2002: 19-20, 49-50. Yu L. Robust control: LMI method[M]. Beijing: Tsinghua University Press, 2002: 19-20, 49-50.
    [20]
    Hanke C R, Nordwall D R. The simulation of a jumbo jet transport aircraft volume Ⅱ: Modeling data[R]. Wichita, KA, USA: Boeing Company, 1970.
    • Related Articles

  • Related Articles

    [1]XIONG Jufeng, HE Yuqing, HAN Jianda. Active LPV Yaw Keeping Control of an Unmanned Surface Vehicle[J]. INFORMATION AND CONTROL, 2018, 47(3): 267-275, 282. DOI: 10.13976/j.cnki.xk.2018.8116
    [2]WU Dinghui, ZHANG Xiaolin, SHEN Yanxia. Wind Turbine LPV Active Fault-tolerant Control Base on the Double Convex Polyhedron[J]. INFORMATION AND CONTROL, 2017, 46(6): 646-652. DOI: 10.13976/j.cnki.xk.2017.0646
    [3]HUI Junjun, ZHANG Hexin, ZHOU Xin, LI Guoliang, KONG Xiangyu. New Robust Stability Criteria for Interval Time-Varying Delay Systems with Nonlinear Perturbations[J]. INFORMATION AND CONTROL, 2014, 43(5): 529-533. DOI: 10.13976/j.cnki.xk.2014.0529
    [4]LIN Ruiquan, CHEN Silian, HUANG Tao, WANG Chunying. Design of H∞ Fault Detection Filter for Delta Operator-Formulated Discrete-Time System[J]. INFORMATION AND CONTROL, 2011, 40(4): 563-569,576.
    [5]QI Xiaoyu, QI Ji, SHA Lijuan. Robust L2-L∞ Filtering of Uncertain Stochastic Linear Repetitive Processes[J]. INFORMATION AND CONTROL, 2010, 39(3): 268-275.
    [6]LI Jin-liang, HAO Shun-yi, ZHANG Zong-lin. Decentralized H∞Robust Filtering Algorithm Based on Federated Filter Structure[J]. INFORMATION AND CONTROL, 2008, 37(3): 284-290.
    [7]BAI Lei-shi, TIAN Zuo-hua, SHI Song-jiao. Robust Fault Detection for Uncertain Time delay Systems Based on H∞ Filter[J]. INFORMATION AND CONTROL, 2005, 34(2): 163-166,171.
    [8]XU Zhao-di, ZHANG Si-ying. ROBUST DECENTRALIZED CONTROL FOR UNCERTAIN INTERCONNECTED SYSTEMS WITH TIME-VARYING DELAY[J]. INFORMATION AND CONTROL, 2001, 30(1): 41-45.
    [9]HU Shousong, ZHOU Chuan, HU Weili. ROBUST FAULT DETECTION FOR A CLASS OF NONLINEAR SYSTEM BASED ON NEURAL NETWORKS OBSERVER[J]. INFORMATION AND CONTROL, 1999, 28(3): 214-218,240.
    [10]LIU Zurun. ROBUST STABILITY AND STABILIZATION FOR LINEAR INTERVAL SYSTEMS WITH TIME DELAY[J]. INFORMATION AND CONTROL, 1999, 28(1): 27-30.

Catalog

    Get Citation
    PDF
    XML
    Article views (1243) PDF downloads (144) Cited by()
    Related
    Links

    Copyright © Shenyang Institute of Automation, Chinese Academy of Sciences

    Address: No. 114, Nanta Street, Shenyang (110016)

    Tel:024-23970049

    E-mail: xk@sia.cn

    About Journal
    Journal Introduction
    Editorial Board
    Journals Included
    Contact Us
    Contact Us
    二维码

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return