• DocumentCode
    605869
  • Title

    Comparison on the performance of Induction motor control using fuzzy and ANFIS controllers

  • Author

    Simon, Robert ; Geetha, A.

  • Author_Institution
    Dept. of Electron. & Instrum. Eng., Nat. Eng. Coll., Kovilpatti, India
  • fYear
    2013
  • fDate
    25-26 March 2013
  • Firstpage
    491
  • Lastpage
    495
  • Abstract
    This paper presents the fuzzy and ANFIS control system for Induction motor drives for better performance. The design and simulation of fuzzy logic controller and ANFIS for Induction motor are carried out based on fuzzy set theory and Back propagation. Fuzzy Controller will produce the output based on the rules provided and that are based on human experience. Whereas ANFIS is a best tradeoff between neural and fuzzy system which provide smoothness, due to the fuzzy controller (FC) interpolation and adaptability due to the neural network (NN) Back propagation. Simulated result for Fuzzy and ANFIS controlled Induction motor shows that latter exhibit better results.
  • Keywords
    backpropagation; control system analysis; control system synthesis; fuzzy control; fuzzy neural nets; fuzzy reasoning; induction motor drives; interpolation; machine control; neurocontrollers; ANFIS controller; NN back propagation; fuzzy controller interpolation; fuzzy logic controller design; fuzzy logic controller simulation; fuzzy set theory; fuzzy system; induction motor control; induction motor drives; neural network back propagation; neural system; Artificial neural networks; Engines; Fuzzy logic; Induction motors; Mathematical model; Rotors; Torque; ANFIS; Back Propagation; Fuzzy; Induction motor; PI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
  • Conference_Location
    Tirunelveli
  • Print_ISBN
    978-1-4673-5037-2
  • Type

    conf

  • DOI
    10.1109/ICE-CCN.2013.6528549
  • Filename
    6528549