• DocumentCode
    1136034
  • Title

    ANN-Based Soft Starting of Voltage-Controlled-Fed IM Drive System

  • Author

    Gastli, Adel ; Ahmed, Mohamed Magdy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Sultan Qaboos Univ., Muscat, Oman
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • Firstpage
    497
  • Lastpage
    503
  • Abstract
    Soft starters are used as induction motor controllers in compressors, blowers, fans, pumps, mixers, crushers and grinders, and many other applications. Soft starters use ac voltage controllers to start the induction motor and to adjust its speed. This paper presents a novel artifical neural network (ANN)-based ac voltage controller which generates the appropriate thyristors´ firing angle for any given operating torque and speed of the motor and the load. An ANN model was designed for that purpose. The results obtained are very satisfactory and promising. The advantage of such a controller are its simplicity, stability, and high accuracy compared to conventional mathematical calculation of the firing angle which is a very complex and time consuming task especially in online control applications.
  • Keywords
    induction motor drives; machine control; neurocontrollers; starting; thyristors; torque; voltage control; ANN-based soft starting; artificial neural networks; blowers; compressors; crushers; fans; grinders; induction motor; induction motor controllers; mixers; online control applications; pumps; thyristor firing angle; torque; voltage controlled-fed IM drive system; AC generators; Compressors; Fans; Grinding machines; Induction generators; Induction motors; Neural networks; Thyristors; Torque control; Voltage control; AC voltage controller; artificial neural network (ANN); firing angle; induction motor; soft starter; thyristor;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2004.841522
  • Filename
    1495520