• DocumentCode
    435015
  • Title

    Residual generator function design for actuator fault detection and isolation of a Piper PA30 aircraft

  • Author

    Simani, Silvio ; Bonfé, Marcello ; Castaldi, Paolo ; Geri, Walter

  • Author_Institution
    Dept. of Eng., Ferrara Univ., Italy
  • Volume
    4
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    4336
  • Abstract
    This paper addresses the problem of the detection and isolation of actuator faults on a general aviation aircraft, characterised by a nonlinear model, in the presence of wind gust disturbances. In particular, this work investigates the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. The use of a canonical input-output polynomial description for the linearised model of the aircraft allows to compute in a straightforward way minimal order residual generators. These tools lead to dynamic filters that can guarantee both disturbance signal decoupling and robustness properties with respect to linearisation errors. The results obtained in the simulation of the faulty behaviour of a Piper PA30 are finally reported.
  • Keywords
    actuators; aircraft; fault diagnosis; functions; Piper PA30 aircraft; actuator fault detection and isolation; additive faults; canonical input-output polynomial description; diagnosis schemes; disturbance signal decoupling; dynamic filters; general aviation aircraft; linearisation errors; linearised model; minimal order residual generators; nonlinear model; residual generator function design; robustness properties; wind gust disturbances; Actuators; Aerospace control; Aircraft; Character generation; Fault detection; Filters; Mathematical model; Polynomials; Redundancy; Robustness;
  • 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.2004.1429433
  • Filename
    1429433