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
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;
Conference_Titel :
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-6390-9
DOI :
10.1109/ISIE.2010.5637991