Adaptive fault-tolerant backstepping control against actuator gain faults and its applications to an aircraft longitudinal motion dynamics

被引:55
作者
Shen, Qikun [1 ,2 ]
Jiang, Bin [1 ]
Cocquempot, Vincent [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Yangzhou Univ, Coll Informat Engn, Yangzhou 225009, Peoples R China
[3] Lille 1 Univ Sci & Technol, LAGIS UMR 8219, F-59655 Villeneuve Dascq, France
基金
中国国家自然科学基金;
关键词
fault-tolerant control; fuzzy control; nonlinear systems; backstepping; NONLINEARLY PARAMETERIZED SYSTEMS; TIME-DELAY SYSTEMS; FAILURE COMPENSATION; OUTPUT-FEEDBACK; FUZZY CONTROL; STABILIZATION; TRACKING; OBSERVER; DESIGN; LINEARIZATION;
D O I
10.1002/rnc.3000
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems with actuator faults is discussed, and an observer-based FTC scheme is proposed. Adaptive fuzzy observers are designed to provide a bank of residuals for fault detection and isolation. Using a backstepping approach, we proposed a novel fault diagnosis algorithm, which removes the classical assumption that the time derivative of the output error should be known. Further, an accommodation scheme is proposed to compensate for the effect of the fault, where it is not needed to know the bounds of the time derivative of the fault. The proposed controller guarantees that all signals of the closed-loop system are semi-globally uniformly ultimately bounded and converge to a small neighborhood of the origin by appropriately choosing designed parameters. In addition, a sufficient condition for the existence of an fault detection and isolation observer is derived using Lyapunov stability theory. Finally, a numerical example and a practical aircraft longitudinal motion dynamics are used to demonstrate the effectiveness of the proposed FTC approach. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:1753 / 1779
页数:27
相关论文
共 37 条
  • [1] How to design a fuzzy adaptive controller based on observers for uncertain affine nonlinear systems
    Boulkroune, A.
    Tadjine, M.
    M'Saad, M.
    Farza, M.
    [J]. FUZZY SETS AND SYSTEMS, 2008, 159 (08) : 926 - 948
  • [2] An iterative learning observer for fault detection and accommodation in nonlinear time-delay systems
    Chen, W
    Saif, M
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2006, 16 (01) : 1 - 19
  • [3] Actuator fault diagnosis for a class of nonlinear systems and its application to a laboratory 3D crane
    Chen, Weitian
    Saif, Mehrdad
    [J]. AUTOMATICA, 2011, 47 (07) : 1435 - 1442
  • [4] Actuator fault detection and compensation under feedback control
    Efimov, D.
    Zolghadri, A.
    Raissi, T.
    [J]. AUTOMATICA, 2011, 47 (08) : 1699 - 1705
  • [5] Robust adaptive control of nonlinear systems with unknown time delays
    Ge, SS
    Hong, E
    Lee, TH
    [J]. AUTOMATICA, 2005, 41 (07) : 1181 - 1190
  • [6] Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
    Ge, SZS
    Hong, F
    Lee, TH
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (01): : 499 - 516
  • [7] Global practical tracking of a class of nonlinear systems by output feedback
    Gong, Qi
    Qian, Chunjiang
    [J]. AUTOMATICA, 2007, 43 (01) : 184 - 189
  • [8] Robust fault detection for networked systems with communication delay and data missing
    He, Xiao
    Wang, Zidong
    Zhou, D. H.
    [J]. AUTOMATICA, 2009, 45 (11) : 2634 - 2639
  • [9] Ilchmann A., 1993, Non-identifier-basedHigh-gainAdaptiveControl
  • [10] Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi-Sugeno Fuzzy Models
    Jiang, Bin
    Gao, Zhifeng
    Shi, Peng
    Xu, Yufei
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2010, 18 (05) : 1000 - 1007