• DocumentCode
    1493077
  • Title

    Linearizing the Output Characteristic of GMR Current Sensors Through Hysteresis Modeling

  • Author

    Jedlicska, István ; Weiss, Roland ; Weigel, Robert

  • Author_Institution
    Mater. & Microsyst., Corp. Technol., Siemens AG, Erlangen, Germany
  • Volume
    57
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1728
  • Lastpage
    1734
  • Abstract
    This paper presents a new method for increasing the measurement accuracy of giant magnetoresistive (GMR) sensors. The method used is to linearize the output characteristic by numerically eliminating the hysteresis-the main error source. A simplified mathematical model of the hysteresis is derived from the T(x) model and tested in a software simulation environment by comparing the results with the real measurements. The model is then discretized and implemented on a fixed-point digital signal processor (DSP). An algorithm based on the model is developed in order to eliminate error propagation during the measurements. The 75% improvement in accuracy and the linear output characteristic delivered by the DSP verify the validity of the proposed method. The successful final results demonstrate that modeling hysteresis is a convenient and very effective way to increase the accuracy and the measurement range of GMR sensors in practical applications.
  • Keywords
    electric current measurement; electric sensing devices; giant magnetoresistance; magnetic hysteresis; magnetic sensors; magnetoresistive devices; signal processing; GMR current sensors; error propagation; fixed-point digital signal processor; giant magnetoresistive sensors; hysteresis modeling; output characteristic; simplified mathematical model; software simulation environment; Giant magnetoresistive (GMR); hysteresis; linearization; mathematical model; signal conditioning;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2009.2033090
  • Filename
    5280195