• DocumentCode
    3461694
  • Title

    Research on Simulation Platform for Performance Analyses of Model Vessel

  • Author

    Tang, Zhiyong ; Pei, Zhongcai ; Peng, Zhaoqin ; Wang, Zhanlin

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.
  • fYear
    2006
  • fDate
    20-23 Aug. 2006
  • Firstpage
    451
  • Lastpage
    455
  • Abstract
    Rotating arm basin was used to do the hydrodynamic performance simulation experiments of model vessel. As an important parts of the rotating arm basin, the simulation platform is one of the primary factors that effect the accuracy of the experimental result. A kind of simulation platform for performance analyses of model vessel was introduced in this paper. Because this system has a strong disturbance torque, a combined control system was presented to overcome the limitation of traditional disturbance observer. The combined controller is based on predictive neural network (PNN), feedforward control and PD control. If the predictive outputs are much different from real outputs, the PD control and feedforward control are important factors, and when the predictive error is small enough, the PNN control plays important role. In order to prove the effectiveness of this controller, simulations have been done
  • Keywords
    PD control; feedforward; neurocontrollers; performance evaluation; ships; underwater vehicles; PD control; control system; disturbance observer; feedforward control; hydrodynamic performance simulation experiments; model vessel; predictive neural network; rotating arm basin; Analytical models; Control systems; Error correction; Feedforward neural networks; Hydrodynamics; Neural networks; PD control; Performance analysis; Torque control; Vehicles; Combined control; Predictive neural network; Rotating arm basin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2006 IEEE International Conference on
  • Conference_Location
    Weihai
  • Print_ISBN
    1-4244-0528-9
  • Electronic_ISBN
    1-4244-0529-7
  • Type

    conf

  • DOI
    10.1109/ICIA.2006.305756
  • Filename
    4097978