• DocumentCode
    1233741
  • Title

    Unknown input proportional multiple-integral observer design for linear descriptor systems: application to state and fault estimation

  • Author

    Koenig, D.

  • Author_Institution
    Lab. d´´Automatique de Grenoble, UMR CNRS-INPG-UJF, France
  • Volume
    50
  • Issue
    2
  • fYear
    2005
  • Firstpage
    212
  • Lastpage
    217
  • Abstract
    In this note, the problem of observer design for linear descriptor systems with faults and unknown inputs is considered. First, it is considered that the fault vector function f is s~ times piecewise continuously differentiable. If the s~th time derivative of f is , then s~ integral actions are included into a Luenberger observer, which is designed such that it estimates simultaneously the state, the fault, and its finite derivatives face to unknown inputs. Second, when the fault is not time piecewise continuously differentiable but bounded (like actuator noise) or s~th time derivative of fault is not but bounded too, a high gain observer is derived to attenuate the fault impact in estimation errors. The considered faults may be unbounded, may not be determinist, and faults and unknown inputs may affect the state dynamic and plant outputs. Sufficient conditions for the existence of such observer are given. Results are illustrated with a differential algebraic power system.
  • Keywords
    fault diagnosis; linear systems; observers; Luenberger observer; fault estimation; linear descriptor systems; state estimation; unknown input proportional multiple-integral observer design; Actuators; Estimation error; Integral equations; Observers; Power system dynamics; Power system faults; Robustness; State estimation; Sufficient conditions; Vectors;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2004.841889
  • Filename
    1393137