• DocumentCode
    1846001
  • Title

    Analysis of control concepts applied to induction motors: a motion control problem

  • Author

    Lyshevski, Sergey Edward

  • Author_Institution
    Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    328
  • Abstract
    The designer is faced with the problem of synthesizing electric machines using a number of different machine configurations, and optimal electromagnetic, mechanical, and thermal design must be performed to attain superior performance. In electric machinery, the issues of geometrical variability and magnetic system design have consistently been the most basic problems. A general conceptual framework, innovative research and developments in design of electric machines, including induction motors, are presented. An electric machine classifier and structural synthesis concept, studied in the paper, plays a central role. These benchmarking results are straightforwardly applied to design various electric machines, and different machine configurations are mapped by using classifiers. Explicit distinctions are made between various electric machine configurations and possible operating principles. Different types of electric machines can be defined and designed, and a number of long-standing issues related to geometrical variability and electromagnetics are studied. These benchmarking results allow one to reformulate extremely important problems in electric machinery, solve a number of very complex issues in design, as well as to synthesize innovative electric machines. Using comprehensive nonlinear mathematical models of induction motors, the designer can perform simulation and design, as well as rapidly develop and implement closed-loop high-performance electric drives
  • Keywords
    induction motors; machine control; modelling; motion control; nonlinear control systems; benchmarking results; closed-loop high-performance electric drives; control concepts; elated to geometrical variability; electric machine classifier; electric machine synthesis; electromagnetics; geometrical variability; induction motor control; machine configurations; magnetic system design; motion control problem; nonlinear mathematical models; operating principles; simulation; structural synthesis concept; thermal design; Algorithm design and analysis; Electric machines; Electric variables control; Induction machines; Induction motors; Mathematical model; Motion control; Performance analysis; Robust stability; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.832797
  • Filename
    832797