An adaptive fault-tolerant FCS for a large transport aircraft

被引:0
|
作者
Sollazzo, Adolfo [1 ]
Morani, Gianfranco [1 ]
Giovannini, Andrea [1 ]
机构
[1] Italian Aerospace Research Center, CIRA, Italy
关键词
Air navigation - Fault detection - Fault tolerance - Flight envelopes - Aircraft control - Robust control - Fighter aircraft - Flight control systems;
D O I
暂无
中图分类号
学科分类号
摘要
The final design of the flight control system with fault-tolerant characteristics is shown in Fig. 9.1. Such an FCS is made-up of several parts, first of all the robust control laws that represent the core module of the controller, then a control allocation module which has the capability of distributing the control effort depending on the availability of the actuation devices, whose efficiency condition is given by the Fault-Detection and Identification module. The FDI module also gives information about the aircraft's general behaviour and efficiency, thus allowing a supervisor module to manage the FCS in terms of estimated envelope protection, in addition to the attitude and rate limitations. Finally, an autopilot module, whose mode is selected by the panel, gives the attitude reference to the robust control law module for the aircraft state regulation. The current state of the research in CIRA in the field of fault-tolerant flight control systems is focused on how to achieve robustness against actuator faults by means of adaptive control techniques. While this topic and the control allocation are already well assessed, the FDI techniques represent the next step forward towards the final design. In this chapter, the core module involving the robust control laws is described and reported in detail, along with some descriptions of the autopilot module. The control module is based on the adaptive model-following technique, while the latter is designed by means of the classical sequential loop closure approach. The FCS is the main focus of this chapter and is depicted in Fig. 9.2. Its theoretical background is recalled in the next section. © 2010 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:273 / 291
相关论文
共 50 条
  • [31] Adaptive Sliding Mode Fault-tolerant Control for Hypersonic Aircraft Using RBF Neural Networks
    Zhai, Rongyu
    Qi, Ruiyun
    Jiang, Bin
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 1879 - 1884
  • [32] ADAPTIVE UNIVERSAL FAULT-TOLERANT LOGIC NETWORKS
    IOSUPOVICZ, A
    IEEE TRANSACTIONS ON COMPUTERS, 1975, 24 (10) : 1043 - 1048
  • [33] Fault-tolerant Iterative Solvers with Adaptive Reliability
    Shukla, Aaditya
    Wu, Yue
    Zonouz, Saman
    Dehnavi, Maryam Mehri
    2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,
  • [34] Fault-Tolerant Adaptive Parallel and Distributed Simulation
    D'Angelo, Gabriele
    Ferretti, Stefano
    Marzolla, Moreno
    Armaroli, Lorenzo
    2016 IEEE/ACM 20TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED SIMULATION AND REAL TIME APPLICATIONS (DS-RT), 2016, : 37 - 44
  • [35] Robust adaptive fault-tolerant control of a tandem coaxial ducted fan aircraft with actuator saturation
    Xiaoliang WANG
    Changle XIANG
    Homayoun NAJJARAN
    Bin XU
    Chinese Journal of Aeronautics, 2018, (06) : 1298 - 1310
  • [36] ADAPTIVE FAULT-TOLERANT MULTICAST IN HYPERCUBE MULTICOMPUTERS
    LAN, YR
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 1994, 23 (01) : 80 - 93
  • [37] Fault-Tolerant Adaptive Routing in Dragonfly Networks
    Xiang, Dong
    Li, Bing
    Fu, Yi
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2019, 16 (02) : 259 - 271
  • [38] Robust adaptive fault-tolerant control of a tandem coaxial ducted fan aircraft with actuator saturation
    Wang, Xiaoliang
    Xiang, Changle
    Najjaran, Homayoun
    Xu, Bin
    CHINESE JOURNAL OF AERONAUTICS, 2018, 31 (06) : 1298 - 1310
  • [39] Supr: Adaptive Byzantine Fault-Tolerant Replication
    Zbierski, Maciej
    DEPENDABILITY ENGINEERING AND COMPLEX SYSTEMS, 2016, 470 : 571 - 581
  • [40] Adaptive fault-tolerant neural network classifier
    Shao, D.
    Zhou, Z.H.
    Chen, Z.Q.
    2001, Science Press (38):