Abstract
One of the problems faced in magnetic sensors is how to evaluate their ability to anti-magnetic field interference (AMFI). External magnetic fields can easily affect the accuracy of magnetic sensor measurements. In the worst-case scenario, the measured magnetic field will be masked entirely, and the magnetic sensor will lose its measurement function. Existing research usually uses measurement errors to reflect the AMFI ability of magnetic sensors, but measurement errors can vary with changes in interference current. Therefore, measurement error cannot be used as an indicator to evaluate the ability of magnetic sensors to AMFI. This article proposes a magnetic field interference degree (MFID) analysis method in response to this issue. By establishing an MFID mathematical model, the influence of parameters such as current interference angle and distance ratio on the MFID distribution characteristics of magnetic sensors is studied. In order to guide the AMFI design of magnetic sensors, the MFID mathematical model is solved to calculate the magnetic field interference zero point (MFIZP). An optimization plan is also proposed to improve the AMFI capability of magnetic sensors. The single-axis TMR sensor is used in this article for experiments to verify the feasibility of the proposed method and optimization scheme. Analysis and experimental results indicate that the method proposed in this paper can reasonably evaluate the magnetic sensor's AMFI ability, and the optimization scheme is superior in improving the magnetic sensor's AMFI ability.
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