• DocumentCode
    190283
  • Title

    Novel automatic digital calibration techniques for GMR sensors

  • Author

    Lopez-Martin, Antonio J. ; Carlosena, Alfonso

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Public Univ. of Navarra, Pamplona, Spain
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    2078
  • Lastpage
    2081
  • Abstract
    Simple and innovative automatic techniques for digital calibration of Giant Magnetoresistive (GMR) sensor bridges are presented, which allow compensating the main problems of these devices: temperature dependence, sensitivity variations, nonlinearity, electrical offset and mechanical misalignments. They are based on obtaining the best fit of the GMR bridge output with a sinusoid using the Levenberg-Marquardt algorithm, and thus generating the optimal gain, electrical offset and mechanical offset compensation. Gain and offset temperature drifts are also digitally compensated by sensing temperature from the GMR bridge itself. Nonlinearity is removed using a very simple logic that exploits the symmetry and weak nonlinearity of the GMR output. The digital calibration techniques have been used in a contactless angular detection system developed by the authors. Measurement results show that digital calibration reduces maximum errors from 7.2° to less than 1° in an angular range of 110°.
  • Keywords
    application specific integrated circuits; calibration; giant magnetoresistance; magnetic sensors; GMR sensors; Levenberg-Marquardt algorithm; automatic digital calibration techniques; contactless angular detection system; electrical offset; giant magnetoresistive sensor; mechanical misalignments; nonlinearity; sensitivity variations; temperature dependence; Application specific integrated circuits; Bridge circuits; Calibration; Magnetic sensors; Pulse width modulation; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985445
  • Filename
    6985445