• DocumentCode
    3188544
  • Title

    Robust control of induction motor using fuzzy sliding adaptive controller with sliding mode torque observer

  • Author

    Yoon, Byung-Do ; Kim, Yoon-Ho ; Kim, Chan-Ki ; Kim, Choon-Sam

  • Author_Institution
    Dept. of Electr. Eng., Chungang Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    1995
  • fDate
    6-10 Nov 1995
  • Firstpage
    518
  • Abstract
    In this paper, a robust speed controller for an induction motor is proposed. The speed controller consists of a fuzzy sliding adaptive controller (FSAC) and a sliding mode torque observer (SMTO). The FSAC removes the problem of oscillations caused by discontinuous inputs of the sliding mode controller. The controller also provides robust characteristics against parameter and sampling time variations. Although, however, the performance of FSAC is better than the PI controller and fuzzy controller in robustness, it generates the problem of slow response time. To alleviate this problem, a compensator, which performs feedforward control using torque signals produced by the SMTO, is added. The simulation and hardware implementation results show that the proposed system is robust to the load disturbance, parameter variations, and measurement noises
  • Keywords
    adaptive control; control system analysis; control system synthesis; feedforward; fuzzy control; induction motors; machine control; machine testing; machine theory; observers; robust control; torque control; variable structure systems; velocity control; control simulation; feedforward control compensator; fuzzy sliding adaptive controller; induction motor; parameter variations; performance; response time; robust speed controller; sampling time variations; sliding mode torque observer; torque signals; Adaptive control; Delay; Fuzzy control; Induction motors; Noise robustness; Programmable control; Robust control; Sampling methods; Sliding mode control; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-3026-9
  • Type

    conf

  • DOI
    10.1109/IECON.1995.483462
  • Filename
    483462