• DocumentCode
    3110702
  • Title

    Adaptive Autopilot System for Small Ships Employing E-TOP Method and SOM

  • Author

    Maeno, Hitoshi ; Yamakawa, Takeshi

  • Author_Institution
    Grad. Sch. of Life Sci. & Syst. Eng., Kyushu Inst. of Technol., Kitakyushu
  • fYear
    2006
  • fDate
    16-18 Aug. 2006
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    A phase diagram of error and its derivative is useful to illustrate the state of the control system, where a fixed point at origin stands for a stable state, a point leaving origin an unstable state, a point moving round the origin an oscillatory state, etc. Thus the state of the control system is estimated by the motion of the point in the diagram. When the control system is under a strong or periodic disturbance, the state point moves round the origin staggeringly or periodically. It is difficult to evaluate the state of the control system in such conditions and the appropriate control is hardly realized. The E-TOP (evaluation with trajectory on phase diagram) method, presented by the authors, facilitates extracting the feature parameters from the trajectory in the phase diagram. The feature parameters characterize the behaviour of the control system. The adaptive PID autopilot system employing the E-TOP method is very efficient to evaluate the behaviour of small ships, the attitude of which is easily varied by the waves. However, when the attitude of the ship body is strongly staggering, the adaptive autopilot system cannot work appropriately. To cope with this problem, we propose the advanced E-TOP adaptive PID autopilot system, which employs the self-organizing maps (SOM)[2]. The advantage of this autopilot system to the conventional one is shown by the software simulation.
  • Keywords
    adaptive control; control engineering computing; digital simulation; motion control; position control; self-organising feature maps; ships; three-term control; adaptive PID autopilot system; control system; self-organizing maps; small ships; software simulation; trajectory control; Adaptive control; Adaptive systems; Control systems; Error correction; Humans; Marine vehicles; Programmable control; System identification; Systems engineering and theory; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2006 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9700-2
  • Electronic_ISBN
    0-7803-9701-0
  • Type

    conf

  • DOI
    10.1109/INDIN.2006.275714
  • Filename
    4053359