• DocumentCode
    1677471
  • Title

    Signal Analysis in Back Bias Speed Sensor Systems

  • Author

    Ortner, Michael ; Seger, Michael ; Ribeiro, Manoel ; Satz, Armin

  • Author_Institution
    Electromagn. Sense & Control Dept., CTR - Carinthian Tech Res., Villach, Austria
  • fYear
    2013
  • Firstpage
    706
  • Lastpage
    714
  • Abstract
    Wheel speed sensors determine the angular velocity of rotating axes and are widely used in modern industry with a variety of applications. This paper provides a general introduction to back bias speed sensor systems, presenting and discussing the numerous parameters of a general 3D model. The underlying physical mechanisms of the back bias principle are explained with the help of 2D FEM magneto-static simulations. While 2D simulations do not perfectly reflect the magnetic field dynamics of the real problem, they provide an excellent qualitative understanding of the signal behavior concerning model parameter variations. Based on the previous discussions, a representative cogwheel geometry is proposed and analyzed in detail, featuring a study of the influences of the model parameters on the speed sensor signal. As an outcome of the parameter sensitivity analysis, it was possible to determine the degree of influence of the different model parameters on the quality of the speed sensor signal. In conclusion, this study aims to advance the general understanding of the speed sensor signal in back bias systems for manufacturers and to form a solid basis for future work in this field.
  • Keywords
    finite element analysis; magnetic sensors; 2D FEM magneto-static simulations; back bias speed sensor systems; general 3D model; parameter sensitivity analysis; representative cogwheel geometry; signal analysis; signal behavior; wheel speed sensors; Computational modeling; Finite element analysis; Geometry; Materials; Permeability; Sensor systems; Wheels; back bias systems; magnetic sensing; speed sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (EMS), 2013 European
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4799-2577-3
  • Type

    conf

  • DOI
    10.1109/EMS.2013.119
  • Filename
    6779931