Open AccessTemperature and nonlinear compensation of Hall current sensor based on least square method
Author(s) -
Fei Qi,
Xiaopeng Zhao,
Qian Huang,
Haihong Huang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/4/042016
Subject(s) - compensation (psychology) , nonlinear system , current (fluid) , square (algebra) , hall effect sensor , basis (linear algebra) , control theory (sociology) , hall effect , mathematics , computer science , engineering , physics , electrical engineering , geometry , artificial intelligence , quantum mechanics , psychology , control (management) , psychoanalysis , magnet , electrical resistivity and conductivity
In view of the temperature characteristics and non-linear problems of Hall current sensor, this paper introduces a method of temperature and nonlinear compensation based on least square method. On the basis of the curve fitting by the least square method, it is verified by the test data. This method can better compensate the influence of temperature and nonlinearity on the measurement errors of the Hall current sensor.