• DocumentCode
    2963519
  • Title

    High performance control and estimation in AC drives

  • Author

    Bose, Bimal K.

  • Author_Institution
    Tennessee Univ., Knoxville, TN, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    9-14 Nov 1997
  • Firstpage
    377
  • Abstract
    High performance control and estimation techniques for sensorless drives are very fascinating and challenging subjects of R&D and they have received wide attention in the literature. The paper briefly surveys the modern high performance drive control and estimation methods for AC motor drives. The voltage-fed cage type induction motor drive has been considered in the paper but the control principles can be extended to other types of drives using different types of converters. The vector control methods, advanced scalar controls and adaptive and optimal controls are discussed. The intelligent control with fuzzy logic and neural network has been particularly emphasized. Finally, the estimation of feedback signals has been reviewed
  • Keywords
    adaptive control; feedback; fuzzy control; induction motor drives; intelligent control; machine control; neural nets; optimal control; parameter estimation; squirrel cage motors; AC drives; adaptive control; control principles; estimation; estimation techniques; feedback signals estimation; fuzzy logic; high performance control; high performance drive control; intelligent control; neural network; optimal control; scalar controls; sensorless drives; vector control methods; voltage-fed cage type induction motor drive; AC motors; Adaptive control; Fuzzy logic; Induction motor drives; Intelligent control; Machine vector control; Optimal control; Programmable control; Sensorless control; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-7803-3932-0
  • Type

    conf

  • DOI
    10.1109/IECON.1997.671764
  • Filename
    671764