• DocumentCode
    3391474
  • Title

    Fault tolerant neuro-H∞ controller design for aircraft auto-landing

  • Author

    Li, Yan ; Wang, Zhifeng ; Sundararajan, N. ; Saratchandran, P.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2003
  • fDate
    16-18 March 2003
  • Firstpage
    172
  • Lastpage
    175
  • Abstract
    A fault tolerant controller is designed for aircraft auto-landing by integrating a dynamic structured radial basis function network (RBFN) with traditional controllers. The RBFN, with the name of minimal resource allocating network (MRAN), is used in the outer loop to aid an inner conventional controller. Simulation results demonstrate satisfactory performance of the proposed MRAN neuro-flight controller for aircraft auto-landing even under severe wind and control surface loss.
  • Keywords
    H∞ control; aircraft landing guidance; control system analysis; control system synthesis; fault tolerance; neurocontrollers; radial basis function networks; resource allocation; aircraft auto-landing; dynamic structured radial basis function network; fault tolerant neuro-H∞ controller design; inner conventional controller; minimal resource allocating network; neuro-flight controller; outer loop; Aerospace control; Aerospace electronics; Aircraft; Control systems; Fault tolerance; Feedforward neural networks; Feedforward systems; Neural networks; Resource management; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2003. Proceedings of the 35th Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-7697-8
  • Type

    conf

  • DOI
    10.1109/SSST.2003.1194552
  • Filename
    1194552
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3391474