• DocumentCode
    435014
  • Title

    Modelling and identification of residual generator functions for fault detection and isolation of a small aircraft

  • Author

    Simani, Silvio ; Bonfè, Marcello

  • Author_Institution
    Dipt. di Ingegneria, Ferrara Univ., Italy
  • Volume
    4
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    4324
  • Abstract
    This paper addresses the design of a fault diagnosis scheme based on linear system frequency domain design. The main innovation of the method consists of integrating in one-step only, the derivation of an analytical model of residual generator functions for the diagnosis of the monitored process with the optimal design of the diagnostic system itself. Special attention will be given to the computation of residual generator functions in order to realise a complete fault diagnosis scheme when additive faults are present, as well as the optimisation of the performance that can be achieved under the presence of disturbance and unknown inputs. The combined modelling and identification approach for the computation of residual generators is exploited for fault detection and isolation of a small aircraft, characterised by a non-linear model, in the presence of disturbance. The results obtained in the simulation of the faulty behaviour of a Piper PA30 are finally reported.
  • Keywords
    aircraft; fault diagnosis; functions; identification; linear systems; multivariable systems; Piper PA30; additive faults; fault detection and isolation; fault diagnosis scheme; identification approach; linear multivariable systems; linear system frequency domain design; residual generator functions; small aircraft; Aircraft; Analytical models; Character generation; Computational modeling; Fault detection; Fault diagnosis; Frequency domain analysis; Linear systems; Monitoring; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1429431
  • Filename
    1429431