• DocumentCode
    1750970
  • Title

    An adaptive fuzzy sliding-mode controller design for induction servomotor system

  • Author

    Lin, Chih-Min ; Hsu, Chun-fei

  • Author_Institution
    Dept. of Electr Eng., Yuan Ze Univ., Tao-Yuan, Taiwan
  • Volume
    2
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    889
  • Abstract
    An adaptive fuzzy sliding-mode control (AFSMC) design method is proposed to control an induction servomotor system. The proposed AFSMC system comprises a fuzzy controller and a compensation controller. The fuzzy controller is used to mimic an ideal computational controller. The compensation controller is designed to compensate for the difference between the ideal computational controller and the fuzzy controller. All parameters in the proposed AFSMC system are tuned in the Lyapunov sense; thus the stability of the system can be guaranteed. Simulation and experimental results verify that the proposed design method can achieve satisfactory control performance with regard to parameter variations and external disturbance
  • Keywords
    Lyapunov methods; adaptive control; compensation; control system synthesis; fuzzy control; induction motors; machine control; servomotors; stability; tuning; variable structure systems; Lyapunov stability; adaptive fuzzy sliding-mode controller design; compensation controller; control performance; external disturbance; fuzzy controller; ideal computational controller; induction servomotor system; parameter variations; simulation; tuning; Adaptive control; Computational modeling; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Programmable control; Servomotors; Sliding mode control; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.944722
  • Filename
    944722