• DocumentCode
    1528981
  • Title

    Improving fault handling in marine vehicle course-keeping systems

  • Author

    Vukic, Zoran ; Ozbolt, Henrieta ; Pavlekovic, Dean

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
  • Volume
    6
  • Issue
    2
  • fYear
    1999
  • fDate
    6/1/1999 12:00:00 AM
  • Firstpage
    39
  • Lastpage
    52
  • Abstract
    Proposes a FDI algorithm that is tested by simulation of the rudder servosystem in the closed-loop course-keeping system for a Mariner Class vessel. A properly adjusted recursive extended least-squares (RELS) identification algorithm is utilized for fault-detection purposes, since hardly detectable faults (also called multiplicative faults) are handled. The rudder subsystem model, as a part of the overall closed-loop course-keeping system, is presented, and the three main parts of the proposed FDI module, which are configured on the basis of a RELS algorithm, are described. We show simulation results and provide comments for both linear and nonlinear (complete 3 degree-of-freedom model) Mariner Class vessel dynamics. We also discuss the connection to some other approaches and provide possible improvements for the suggested algorithm
  • Keywords
    closed loop systems; fault diagnosis; least squares approximations; motion control; observers; parameter estimation; servomechanisms; ships; FDI algorithm; Mariner Class vessel; closed-loop course-keeping system; fault detection; fault handling; fault isolation; hardly detectable faults; marine vehicle course-keeping systems; multiplicative faults; recursive extended least-squares identification algorithm; rudder servosystem; Analytical models; Degradation; Failure analysis; Fault detection; Instruments; Marine vehicles; Robust control; Servosystems; System testing; Vehicle detection;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/100.774927
  • Filename
    774927