• DocumentCode
    736223
  • Title

    Speed control of three-phase induction motor drives using automatically sensing controller based on fuzzy logic

  • Author

    Brainord, Polimetla Stephen ; Sri, Kamminana Swetha ; Dinesh, L.

  • Author_Institution
    Electrical and Electronics Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we are conveying a new method for speed control system for induction motor which is based on fuzzy logic instead of obsolete indirect vector control using PI controller as a speed regulator in outer speed loop. In obsolete method for speed control system of a induction motor drive uses a voltage source pulse width modulation inverter-fed vector controlled indirectly which is having low precision for the speed control giving bad speed regulation characteristics and decreasing the performance of the whole induction motor drive. To prevail over this PI controller by a automatically sensing fuzzy control system which is based on fuzzy set theory. The execution of this automatically sensing fuzzy control system can be inquired through digital simulation which is based on MATLAB-SIMULINK package. By using this digital simulation system the performance of fuzzy control system can be seen by creating variable operating conditions by varying reference speeds and at different load torques. Consequences of this digital simulation system shows improved performance characteristics of the suggested fuzzy control system over the obsolete PI controller as a speed regulator in outer speed loop
  • Keywords
    Fuzzy logic; Induction motor drives; Machine vector control; Mathematical model; Sensors; Velocity control; fuzzy; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253794
  • Filename
    7253794