• DocumentCode
    2082380
  • Title

    Network-based controlled DC motor with fuzzy compensation

  • Author

    Almutairi, Naif B. ; Chow, Mo-Yuen ; Tipsuwan, Yodyium

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1844
  • Abstract
    This paper introduces a fuzzy logic compensation approach for the network-based controlled DC motor. The approach is based on modulating the control signal provided by the central controller in the network-based system with a single parameter. The inputs to the fuzzy compensator are the error signal between the reference and the actual output of the DC motor, and the output signal from the PI controller. The output from the fuzzy compensator is the modulator parameter. This parameter modulates the output of the PI controller in order to reduce the effect of the network delays and different available bandwidth. The results show that using fuzzy compensation can be an effective approach to improve the performance of the DC motor controlled through the network
  • Keywords
    DC motors; compensation; fuzzy control; machine control; two-term control; PI controller; central controller; control signal modulation; error signal; fuzzy logic compensation; network delays effect reduction; network-based controlled DC motor; network-based system; output signal; Centralized control; Communication system control; Computer networks; Control systems; DC motors; Delay effects; Equations; Error correction; Fuzzy control; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-7108-9
  • Type

    conf

  • DOI
    10.1109/IECON.2001.975571
  • Filename
    975571