• DocumentCode
    3128499
  • Title

    Correcting nonlinearity and temperature influence of sensors through B-spline modeling

  • Author

    Bluemm, Christian ; Weiss, Rebecca ; Weigel, Robert ; Brenk, Daniel

  • Author_Institution
    Inst. for Electron. Eng., Univ. of Erlangen-Nuremberg, Erlangen-Nuremberg, Germany
  • fYear
    2010
  • fDate
    4-7 July 2010
  • Firstpage
    3356
  • Lastpage
    3361
  • Abstract
    A major problem of almost all types of industrial sensors is their nonlinear characteristics. Coming from the sensors´ inherent physical peculiarities, nonlinearity can cause severe systematic measurement inaccuracy. As a countermeasure, the numerical technique of B-spline interpolation has been adapted to the field of electrical measuring. A great benefit of this method is the ability to correct even more than sensor nonlinearity. With a simple extension of this technique, the elimination of systematic external influences, such as the effect of temperature, is possible up to a high degree. In experiments with a GMR-based current sensor and a low-cost FPGA as digital platform, a measurement accuracy of 0.25% for current values up to ± 100A in a temperature range from -20°C to 80°C had been achieved.
  • Keywords
    interpolation; splines (mathematics); temperature measurement; B-spline modeling; industrial sensors; systematic measurement inaccuracy; temperature influence; Current measurement; Interpolation; Mathematical model; Spline; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2010 IEEE International Symposium on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-6390-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2010.5637991
  • Filename
    5637991