• DocumentCode
    346236
  • Title

    Control of induction motors by artificial neural networks

  • Author

    Heredia, J.R. ; Hidalgo, F. Perez ; Paz, J. L Duran

  • Author_Institution
    Dept. Tecnologia Electronica, Malaga Univ., Spain
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    792
  • Abstract
    In this work, the authors propose a VSI control in open loop through the measurement of the current of the stator and using an artificial neural network (ANN). The technical control proposed has a mission to estimate the speed and torque of the rotor without necessity of using elements like tachometers or measurement of torque while the machine is working. The authors try to obtain an easy and cheap method of control with great precision and hardiness the same as other more complex schemes. The artificial neural networks receive, as inputs, the stator current and stator voltage and are trained for a collection of loads. The answers of the networks generate the estimates of the speed and the torque
  • Keywords
    DC-AC power convertors; control system analysis; control system synthesis; induction motors; invertors; machine control; machine testing; machine theory; neurocontrollers; parameter estimation; stators; torque control; velocity control; VSI; artificial neural networks; computer simulation; control design; control simulation; electric loads; induction motor control; neural network inputs; open loop control; rotor speed estimation; rotor torque estimation; stator current; stator current measurement; stator voltage; Artificial neural networks; Current measurement; Induction motors; Open loop systems; Rotors; Stators; Torque control; Torque measurement; Velocity measurement; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 1999. ISIE '99. Proceedings of the IEEE International Symposium on
  • Conference_Location
    Bled
  • Print_ISBN
    0-7803-5662-4
  • Type

    conf

  • DOI
    10.1109/ISIE.1999.798714
  • Filename
    798714