• DocumentCode
    728092
  • Title

    Dominating neighbourhood observers for fault reconstruction

  • Author

    Menon, Prathyush P. ; Edwards, Christopher

  • Author_Institution
    CEMPS, Univ. of Exeter, Exeter, UK
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    880
  • Lastpage
    885
  • Abstract
    In this paper, semi-decentralized sliding mode observers are designed for a network of homogeneous linear time invariant dynamical systems, represented in terms of a graph based on relative information. The proposed sliding mode observers reconstruct actuator faults occurring at the node itself as well as in the closed neighbourhood node set. Two distinct observer frameworks are proposed. In the first one, observers are deployed at every node, whereas in the second framework, the observers are placed only on nodes which define the dominating node set. Minimizing the number of observers required, while providing complete monitoring coverage across the network, is the key advantage of the latter framework. The methodology is demonstrated using a formation flying scenario involving a network of ten satellites. Semi-decentralized super-twisting sliding mode observers have been designed to circumvent issues associated with fault reconstruction when only the relative positions of the satellites are assumed to be available for monitoring purposes.
  • Keywords
    artificial satellites; decentralised control; graph theory; linear systems; observers; variable structure systems; actuator fault reconstruction; formation flying scenario; homogeneous linear time invariant dynamical systems; neighbourhood observers; satellites; semidecentralized supertwisting sliding mode observers; Actuators; Fault detection; Monitoring; Network topology; Observers; Satellites; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170845
  • Filename
    7170845