• DocumentCode
    483079
  • Title

    A Fast Matlab toolbox for electrical machinery

  • Author

    Moradi, Mohammad Hassan ; Khorasani, P.G.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Bu Ali Sina, Hamedan
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    4008
  • Lastpage
    4013
  • Abstract
    This paper is introducing a fast Matlab toolbox to analysis the transient behavior of three-phase electrical machinery (EM). The well known models with several differential equations of voltage and current in rotor reference frame along with the torque and speed equations is used in matrix form to model the EM such synchronous machine, induction machine and DC machine. In order to fast simulation all equations are represent in state space form. Also, in the proposed models, the saturation is considered. The commercial software package, MATLAB, is used to implement the transient behavior of the models. The validation and speed of obtained models is tested and compared with Matlab/Simulink conventional model and published papers. The results show that an excellent agreement is obtained demonstrating the accuracy of the proposed model. Also, the simulation speed of the proposed approach is shown an excellent result compared with conventional approaches.
  • Keywords
    differential equations; electric machine analysis computing; electric machines; matrix algebra; state-space methods; transient analysis; DC machine; differential equations; fast Matlab toolbox; induction machine; matrix algebra; rotor reference frame; simulation speed; state space form; synchronous machine; three-phase electrical machinery; torque-speed equations; transient analysis; DC machines; Differential equations; Induction machines; Machinery; Mathematical model; State-space methods; Synchronous machines; Torque; Transient analysis; Voltage;
  • 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
    4771483