• DocumentCode
    2027873
  • Title

    Parameter optimisation of a nonlinear tanker control system using genetic algorithms

  • Author

    McGookin, Euan W. ; Murray-Smith, David J. ; Li, Yun ; Fossen, Thor I.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
  • fYear
    1997
  • fDate
    2-4 Sep 1997
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a sliding mode controller (SMC). The GA is used to optimise the performance of the complete system by optimising the parameters of the SMC
  • Keywords
    ships; autopilot; course keeping; genetic algorithm; nonlinear control systems; oil tanker; parameter optimisation; sliding mode control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
  • Conference_Location
    Glasgow
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-693-8
  • Type

    conf

  • DOI
    10.1049/cp:19971152
  • Filename
    680934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2027873