• DocumentCode
    1797698
  • Title

    Decoupling control for five-phase fault-tolerant permanent-magnet motor by using SVM inverse system method

  • Author

    Li Qu ; Guohai Liu ; Hao Zhang ; Yan Jiang

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    3837
  • Lastpage
    3840
  • Abstract
    This paper presents a new decoupling control of five-phase fault-tolerant permanent-magnet (FTPM) motor drives, in which support vector machine (SVM) and inverse system theory are incorporated. The inverse system is constructed to compensate the original system into a pseudo-linear system, while SVM is utilized to obtain the inverse system without knowledge of accurate motor model. The proposed FTPM motor drive is verified in Matlab/Simulink environment, showing that the d-axis current and speed of five-phase FTPM motor system are successfully decoupled. Additionally, the proposed motor drive offers fast speed response and high control accuracy.
  • Keywords
    angular velocity control; control engineering computing; electric current control; electric machine analysis computing; fault tolerant computing; fault tolerant control; inverse problems; linear systems; machine control; machine theory; mathematics computing; motor drives; permanent magnet motors; support vector machines; FTPM; Matlab-Simulink environment; SVM inverse system method; d-axis current control; decoupling control; five-phase fault-tolerant permanent-magnet motor drive; pseudolinear system; speed control; support vector machine; Control systems; Fault tolerance; Fault tolerant systems; Mathematical model; Neural networks; Permanent magnet motors; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889577
  • Filename
    6889577