• DocumentCode
    230261
  • Title

    Chaos control of the permanent magnet synchronous motor using an improved sliding mode controller

  • Author

    Ling-Long Li ; Su-Dan Huang ; Yun Wang ; Guang-Zhong Cao ; Yan Liu

  • Author_Institution
    Shenzhen Key Lab. of Electromagn. Control, Shenzhen Univ., Shenzhen, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    2936
  • Lastpage
    2939
  • Abstract
    Permanent magnet synchronous motors (PMSMs) have chaotic phenomena under specific operating state due to the uncertainty of their parameters. The chaotic phenomena result in the great degradation of performance of PMSMs. This paper presents the chaos control of a PMSM for eliminating the chaotic phenomena using an improved sliding mode controller. Based on the mathematical model of the PMSM, a Lorenz chaotic model of the PMSM is deduced by affine transformation and time-scale transform. With the Lorenz chaotic model, the chaotic phenomena of the PMSM are discussed under the specific parameters based on MATLAB. By the saturation function applying to the closer-rate, the improved sliding mode controller is developed to control the chaotic phenomena of the PMSM. Simulation of the PMSM with the chaos control is performed based on MATLAB. Simulation results show that the chaos control of the PMSM using the improved sliding mode controller is valid for erasing the chaotic phenomena.
  • Keywords
    affine transforms; machine control; permanent magnet motors; synchronous motors; variable structure systems; Lorenz chaotic model; MATLAB; PMSM; affine transformation; chaos control; improved sliding mode controller; mathematical model; permanent magnet synchronous motor; saturation function; time-scale transform; Chaos; MATLAB; Mathematical model; Permanent magnet motors; Switches; Time-domain analysis; Torque; chaos control; permanent magnet synchronous motors; the improved sliding mode controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013998
  • Filename
    7013998