• DocumentCode
    483092
  • Title

    A new modeling and simulation platform-Mworks for electrical machine based on modelica

  • Author

    Chen, Xia ; Wei, Zhongchao

  • Author_Institution
    Dept. of Electr. Machines & Drives, Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    4065
  • Lastpage
    4067
  • Abstract
    Traditional modeling tools such as MATLAB/simulink for the dynamic characteristic simulation of electrical machine has been constrained to cumbersome and complex calculation to obtain the causal relation between input and output of the block. This paper introduces a new modeling and simulation platform-Mworks based on the Modelica language, which enables convenient and efficient modeling and simulation of complex, multi-domain physical systems described by differential, algebraic and discrete equation and supports non-causal modeling, meaning that a modelpsilas terminals do not necessarily to be assigned an input or output role. So it is easy to learn and well suited to simulate the dynamic characteristic of electrical machine. To validate the correctness of the new modeling tool in detail, the model induction machine is established, in which the motor was connected with symmetrical three phase supply and the output waveform accords the running characteristic of the motor.
  • Keywords
    asynchronous machines; electric machines; mathematics computing; MATLAB/simulink; Modelica language; algebraic equation; differential equation; discrete equation; electrical machine based on modelica; induction machine; non-causal modeling; simulation platform-Mworks; Analytical models; Computational modeling; Differential algebraic equations; Differential equations; Induction machines; Induction motors; Mathematical model; Object oriented modeling; Space technology; Windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771496