Magnetoresistance Current Inversion Algorithm Based on Two-valued Function Branch Fitting

According to the requirements of the smart grid, it is necessary to monitor the current of each frequency component in the grid. Under high-frequency current, the tunnel junction magnetoresistance(TMR) sensor has large measurement error due to magnetic hysteresis. In this paper, an optimization algorithm for TMR sensor measurement based on two-valued function branch fitting is proposed. The algorithm reduces the influence of the magnetic hysteresis of the TMR sensor under high frequency current. Experiments show that this method can improve the accuracy of the TMR sensor to about 1.5% under the current of 5kHz.