• DocumentCode
    724500
  • Title

    Modelling, manoeuvring analysis and course following for two unmanned surface vehicles driven by a single propeller and double propellers

  • Author

    Jin Jiu-cai ; Zhang Jie ; Shao Feng

  • Author_Institution
    First Inst. of Oceanogr., State Oceanic Adm., Qingdao, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4932
  • Lastpage
    4937
  • Abstract
    This paper describes the development of two unmanned surface vehicles (USVs), driven by either a single propeller (called as USBV-I) or double propellers (called as USBV-II), for modelling, manoeuvring analysis, course following and experiments at the First Institute of Oceanography, State Oceanic Administration in China. First, the two USVs are presented. Second, a dynamics model is derived for the USVs based on three degrees-of-freedom equations, which differs from other works in the drag terms. The manoeuvring performance of the two USVs is evaluated and compared for both straight line and circular motion using simulations and experiments, which indicate that the manoeuvrability of USBV-II is superior. Using the identified model for USV-II from experiments´ data, the simulation for course following are implemented. Finally, course following lake experiments are performed for USBV-II using a digital compass and indicate that it has a good course following performance.
  • Keywords
    marine vehicles; motion control; position control; propellers; remotely operated vehicles; First Institute of Oceanography, State Oceanic Administration; USBV-II; USV; circular motion; course following; degrees-of-freedom equation; double propeller; dynamics model; manoeuvrability; manoeuvring analysis; manoeuvring performance; single propeller; unmanned surface vehicle; Dynamics; Lakes; Mathematical model; Propellers; Vehicle dynamics; Vehicles; Autonomous Control; Course Following; Manoeuvring Performance; Unmanned Surface Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162807
  • Filename
    7162807