基于磁梯度测量的磁校准方法OA北大核心CSTPCD
Magnetic Calibration Method Based on Magnetic Gradient Measurement
利用三轴磁传感器进行飞行器航向测量或者磁异常探测之前,需要对磁传感器进行磁干扰校准.为了避免由于地磁场短时波动造成校准精度下降,本文基于近地空间地磁场梯度分布特性,提出一种利用磁梯度测量的磁传感器干扰校准方法,建立了磁梯度测量系统磁干扰的 24 参数干扰模型,基于单传感器的椭球拟合法多组任意旋转构建多元非线性方程组,随后利用具有较高区域搜索效率的遗传算法进行非线性方程组的求解.仿真结果表明,和传统的椭球拟合校准方法相比,该方法克服了地磁场短时波动的影响,提升了磁梯度测量系统的校准精度,其磁梯度差分测量误差可校准至[1.848 2 1.845 3 1.915 0]T nT.该研究为航磁系统的载体干扰补偿和高精度测量提供了可靠保障.
Before aircraft heading measurement by using a tri-axial magnetic sensor or magnetic anomaly detec-tion,magnetic interference calibration of the magnetic sensor is required.In order to avoid the degradation of calibra-tion accuracy due to the short-time fluctuation of the geomagnetic field,an interference calibration method for magnetic sensors using magnetic gradient measurement is proposed based on the geomagnetic field gradient distribution character-istics in near-earth space.A 24-parameter interference model for magnetic interference of the magnetic gradient meas-urement system is established,and a multivariate nonlinear equations is constructed based on multiple arbitrary rota-tions of the ellipsoidal fitting method for a single sensor,then by the solution of the nonlinear system equations using a genetic algorithm with higher region search efficiency.The simulation results show that,compared with the traditional ellipsoidal fitting calibration method,this proposed method overcomes the influence of short-time fluctuations of the geo-magnetic field,and improves the calibration accuracy of the magnetic gradient measurement system,whose differential magnetic gradient measurement error can be calibrated to[1.848 2 1.845 3 1.915 0]T nT.This study provides a relia-ble guarantee for the carrier interference compensation and high-precision measurement of the aero magnetic system.
金煌煌;庄志洪;王虹
黄山学院,安徽 黄山 245041南京理工大学,江苏 南京 210094
武器工业
磁梯度测量磁干扰校准遗传算法三轴磁强计椭球拟合航向测量飞行器
magnetic gradient measurementmagnetic interference calibrationgenetic algorithmtri-axial mag-netic sensorellipsoidal fittingazimuth measurementaircraft
《航空兵器》 2024 (001)
117-121 / 5
国家自然科学基金项目(U2141237);安徽省教育厅自然科学重点项目(2022AH051955);黄山学院人才启动项目(2022xkjq002)
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