基于RANSAC算法的三轴磁通门传感器误差校正

针对三轴磁通门传感器存在转向误差影响其测量精度而传统误差校正算法在非理想条件下应用效果不佳的问题,在椭球拟合算法的基础上提出了基于随机抽样一致性(Random Sampling Consensus, RANSAC)算法的三轴磁通门传感器误差校正方法,该方法可以有效剔除样本数据中的噪声和畸变数据点,最终估算出更加准确的误差参数。仿真分析和外场实验表明,即使在样本数据中含有噪声或畸变数据点时,该方法仍然可以估算出更加准确的误差参数。相比传统椭球拟合算法,仿真分析中传感器误差参数的估算精度提升了1～2个数量级,外场实验中实测数据磁总场的峰峰值和均方根误差的改善率分别提高了10.2%和32.1%。     

基于MEMS陀螺仪辅助的粒子群优化磁力计校正

目前磁力计校正中存在需要采集大量数据、获取良好的初值和已知准确的传感器噪声分布等问题,传统的粒子群优化磁力计校正算法能够解决以上问题,但是该算法只能用于磁力计简化模型,校正其中9个误差参数,造成补偿不准确的问题。该算法借助MEMS陀螺仪建立矢量目标函数,采用随机漂移粒子群优化算法估计磁力计12个误差参数,具有较强的全局搜索能力和动态适应性。经过仿真与实测实验表明,该算法在磁力计绕其任意2个单轴不完整旋转1周即可实现校正,并且能够在磁场变化情况下保持精度,相比于传统算法补偿精度高、操作简单。     

捷联航姿传感器的误差补偿标定方法

磁航向传感器作为机载设备,它的工作情况与载体环境的影响有着密切的关系,测得的磁航向角存在着较大的误差,不能直接用来进行导航定位。所以,必须对其进行误差补偿,提高磁航向角的测量精度,才能用于导航定位。罗差是磁阻罗盘的主要误差源,文中介绍了罗差方程式,并重点推导了基于最小二乘法的七参数八位置误差标定方法。基于该方法的磁航向补偿算法的性能试验结果证明,磁航向误差基本维持在0.5°左右,满足了精度的要求。     

三维捷联磁传感器误差分析及补偿

磁传感器在导航系统中的应用日益广泛。在车载导航系统工作环境中,外界干扰磁场复杂,严重影响了磁航向测量的精度。因此对磁航向进行适当的罗差补偿是提高磁航向测量精度的有效途径。文中介绍了用磁传感器进行磁航向测量的原理,分析了由于磁场矢量叠加产生的罗差,提出了基于傅立叶级数的罗差模型和补偿方法。工程实践表明,上述方法的使用收到了较好的效果。     

轴向磁通磁场调制型电机的解析分析

提出了一种新型二维解析分析方法用于计算轴向磁通磁场调制型电机的气隙磁场分布和电机特性。对电机每个子域列出拉普拉斯方程或泊松方程并结合边界条件,求解出每个子域的矢量磁位,进而得到气隙磁场分布、空载反电势、电磁转矩和轴向磁拉力的解析表达式。为了评估解析方法的计算精度,对二维解析分析结果和三维有限元仿真结果进行了比较,结果表明二维解析计算结果的计算误差在10.3%以内。由于解析分析在保证计算精度的前提下大大缩短了计算时间,因此该方法适用于轴向磁通磁场调制型电机初始设计阶段电机参数的确定。     

基于共轭次梯度算法的磁传感器安装误差校正

随着头盔显示技术的发展,对头盔电磁定位的精度要求越来越高,在现有的加工工艺和机上安装条件下,要提高定位精度,必须对传感器安装误差进行校正。通过坐标转换原理对安装误差进行建模,在此基础上利用最小二乘原则选取目标函数,将校正过程抽象为最优化问题求解。提出一种基于共轭次梯度算法的最优化问题求解方法,实现了传感器安装误差校正。利用MATLAB上对校正算法进行仿真,仿真结果表明,共轭次梯度算法简洁易用、校正精度高、收敛速度快,能够明显提高磁场测量精度。     

微小型无人机三轴磁强计现场误差校正方法

详细分析微小型无人机导航用三轴磁强计的误差来源,建立三轴磁强计的等效误差模型,提出基于两步估计算法和圆约束非对准误差估计算法的三轴磁强计现场误差校正方法.在充分考虑地磁场偏转和倾斜特性的基础上,提出适合微小型无人机应用的现场数据采样策略,能够在较少的旋转操作下获得较好的采样数据.仿真表明:在所有磁场误差都存在的情况下,...     

基于三轴磁传感器运动噪声消除方法的误差分析

通过对三轴磁引信抗晃动原理实现过程中系数采集、磁场数据采集和采用不同精度数据运算时引入的误差进行分析,估算了采用标量接收技术时地球磁场误差界的值,量化了误差对磁感应强度矢量模值的平方及其本身的影响,描述了在不同的分辨率情况下对模数转换器及运算数据的位数要求,反演了模数转换器位数确定后方程组变换系数的精度,为系统软、硬件设计提供了依据.     

基于航向匹配的磁力计外场无依托标定算法CSCD

三轴磁力计的测量精度会受到自身和环境的影响,因此在使用前必须要进行标定。传统标定方法需要特定的精密仪器和标定环境,或是对计算量和采集数据的方式有较高的要求,针对这些问题,提出了基于航向匹配的磁力计外场无依托标定算法。该算法无需特定精密仪器、对数据采集和计算量的要求也较低,且可以在现场实现有效动态标定。该算法基于航向角是磁航向角与磁偏角代数和的原理,通过等价数学变换构建了磁力计零偏关于姿态角与磁力计测量值的线性模型,最终采用最小二乘法对磁力计的零偏进行估计。该算法可以估计三轴磁力计的零偏,对磁力计的测量结果有较好的补偿作用。实验结果表明,该算法可有效标定三轴磁力计,减小其测量误差。经标定的磁力计可以应用于地磁匹配导航,辅助惯性导航修正其位置误差,尤其是在长直路段内,磁力计标定过程中识别出的磁异常数据可以为地磁匹配导航提供基础信息。     

多个MEMS惯性姿态模块同时标定方法研究

针对MEMS 惯性姿态模块的应用需求, 根据已有的MEMS 三轴加速度计和 三轴陀螺仪的零偏、标度因子和非正交等误差及其随温度的变化模型, 设计了多个 MEMS 惯性姿态模块误差同时标定的方法,该方法可实现多个模块传感器数据的同步采 集,在常温下可对多个MEMS 惯性姿态模块的非正交误差进行批量标定,在全温度范围 内同时标定多个模块的温度漂移误差。试验表明,该方法校正了MEMS 惯性传感器的非 正交误差和温度漂移误差,提高了MEMS 惯性传感器的精度,同时提高了标定的效率, 减少了标定成本,有利于工程实现。     

Magnetic Field Instruments for the Fast Auroral Snapshot Explorer

The FAST magnetic field investigation incorporates a tri-axial fluxgate magnetometer for DC and low-frequency (ULF) magnetic field measurements, and an orthogonal three-axis searchcoil system for measurement of structures and waves corresponding to ELF and VLF frequencies. One searchcoil sensor is sampled up to 2 MHz to capture the magnetic component of auroral kilometric radiation (AKR). Because of budget, weight, power and telemetry considerations, the fluxgate was given a single gain state, with a 16-bit dynamic range of ±65536 nT and 2 nT resolution. With a wide variety of FAST fields instrument telemetry modes, the fluxgate output effective bandwidth is between 0.2 and 25 Hz, depending on the mode. The searchcoil telemetry products include burst waveform capture with 4- and 16-kHz bandwidth, continuous 512-point FFTs of the ELF/VLF band (16 kHz Nyquist) provided by a digital signal processing chip, and swept frequency analysis with a 1-MHz bandwidth. The instruments are operating nominally. Early results have shown that downward auroral field-aligned currents, well-observed over many years on earlier missions, are often carried by accelerated electrons at altitudes above roughly 2000 km in the winter auroral zone. The estimates of current from derivatives of the field data agree with those based on flux from the electrons. Searchcoil observations help constrain the degree to which, for example, ion cyclotron emissions are electrostatic.     

The FAST Satellite Fields Instrument

We describe the electric field sensors and electric and magnetic field signal processing on the FAST (Fast Auroral SnapshoT) satellite. The FAST satellite was designed to make high time resolution observations of particles and electromagnetic fields in the auroral zone to study small-scale plasma interactions in the auroral acceleration region. The DC and AC electric fields are measured with three-axis dipole antennas with 56 m, 8 m, and 5 m baselines. A three-axis flux-gate magnetometer measures the DC magnetic field and a three-axis search coil measures the AC magnetic field. A central signal processing system receives all signals from the electric and magnetic field sensors. Spectral coverage is from DC to 4 MHz. There are several types of processed data. Survey data are continuous over the auroral zone and have full-orbit coverage for fluxgate magnetometer data. Burst data include a few minutes of a selected region of the auroral zone at the highest time resolution. A subset of the burst data, high speed burst memory data, are waveform data at 2×10⁶ sample s^–1. Electric field and magnetic field data are primarily waveforms and power spectral density as a function of frequency and time. There are also various types of focused data processing, including cross-spectral analysis, fine-frequency plasma wave tracking, high-frequency polarity measurement, and wave-particle correlations.     

The Galileo magnetic field investigation

The Galileo Orbiter carries a complement of fields and particles instruments designed to provide data needed to shed light on the structure and dynamical variations of the Jovian magnetosphere. Many questions remain regarding the temporal and spatial properties of the magnetospheric magnetic field, how the magnetic field maintains corotation of the embedded plasma and the circumstances under which corotation breaks down, the nature of magnetic perturbations that transport plasma across magnetic shells in different parts of the system, and the electromagnetic properties of the Jovian moons and how they interact with the magnetospheric plasma. Critical to answering these closely related questions are measurements of the dc and low-frequency magnetic field. The Galileo Orbiter carries a fluxgate magnetometer designed to provide the sensitive measurements required for this purpose. In this paper, the magnetometer is described. The instrument has two boom-mounted, three-axis sensor assemblies. Flipper mechanisms are included in each sensor assembly for the purpose of offset calibration. The microprocessor controlled data handling system produces calibrated despun data that can be used directly without further processing. A memory system stores data for those periods when the spacecraft telemetry is not active. This memory system can also be used for storing high time-resolution snapshots of data.     

三轴矢量原子磁力仪综述

原子磁力仪可分为标量磁力仪和矢量磁力仪两大类。标量磁力仪的测量结果与传感器的姿态无关,对平台的机动不敏感。矢量磁力仪能够获得更多的磁场信息,可以实现更精确的磁源定位。目前,共有7种三轴矢量原子磁力仪,测量方法分别为磁场扫描法、磁场旋转调制法、磁场轮流抵消法、磁场投影法、磁场交叉调制法、磁场分立调制法和自旋进动调制法。重点对上述7种三轴矢量原子磁力仪的测量方法进行了整理和分析。     

RPC-MAG The Fluxgate Magnetometer in the ROSETTA Plasma Consortium

The fluxgate magnetometer experiment onboard the ROSETTA spacecraft aims to measure the magnetic field in the interaction region of the solar wind plasma with comet 67P/Churyumov-Gerasimenko. It consists of a system of two ultra light (about 28 g each ) triaxial fluxgate magnetometer sensors, mounted on the 1.5 m long spacecraft boom. The measurement range of each sensor is ±16384 nT with quantization steps of 31 pT. The magnetometer sensors are operated with a time resolution of up to 0.05 s, corresponding to a bandwidth of 0–10 Hz. This performance of the RPC-MAG sensors allows detailed analyses of magnetic field variations in the cometary environment. RPC-MAG furthermore is designed to study possible remnant magnetic fields of the nucleus, measurements which will be done in close cooperation with the ROSETTA lander magnetometer experiment ROMAP.     

基于三维原子磁强计的核磁共振陀螺仪实验优化

核磁共振陀螺仪内嵌三维原子磁强计是实现核磁共振陀螺仪小型化的一种有效途径,故介绍了一种基于三维原子磁强计的核磁共振陀螺仪.对影响三维原子磁强计性能的重要参数进行了优化,得到了较优的x轴、yy轴和z轴磁强计信号标度因子,进而实现了更灵敏的三维原子磁强计.在三维磁场闭环锁定6000 s后,测得核磁共振陀螺仪的角度随机游走和零偏稳定性分别为0.038(°)/h1/2和0.94(°)/h.     

Near Magnetic Field Investigation,Instrumentation, Spacecraft Magnetics and Data Access

The primary objective of the investigation is the search for a body-wide magnetic field of the near Earth asteroid Eros. The Near Earth Asteroid Rendezvous (NEAR) 3-axis fluxgate magnetometer includes a sensor mounted on the high-gain antenna feed structure. The NEAR Magnetic Facility Instrument (MFI) is a joint hardware effort between GSFC and APL. The design and magnetics approach achieved by the NEAR MFI effort entailed low-cost, up-front attention to engineering solutions which did not impact the schedule. The goal of the magnetometer is reliable magnetic field measurements within 5 nT, which necessitates the use of an extensive spacecraft magnetic interference model but is achievable with the full year's orbital data set. Such a goal has been shown viable with recent in-flight calibration data and comparisons to the WIND magnetometer data. The NEAR MFI effort has succeeded in providing magnetic field measurements for the first flight in NASA's Discovery line.     

磁强计数据辨识卫星自旋状态

针对近地低轨三轴稳定卫星在轨管理后期,除磁强计外其他姿态敏感器都无效情况下的姿态异常问题,分析了三轴稳定卫星失去姿态基准后,星体自旋状态下三轴磁强计测量数据的特点,提出了使用磁强计测量数据的矢量信息,以找到能够获取卫星状态的方法,从而建立了磁强计测量矢量与卫星自旋轴的几何关系,给出了处于自旋状态下的卫星自旋轴确定方法。通过此种辨识方法,获得了某气象卫星姿态异常翻转状态下的自旋矢量方向和自旋角速度,从而证明了该辨识方法快速、有效,可以作为姿态异常卫星自旋状态的辨识手段,为恢复卫星姿态提供了重要信息,具有一定的工程应用价值。     

DOA estimation for attitude determination on communication satellites

In order to determine an appropriate attitude of three-axis stabilized communication satellites, this paper describes a novel attitude determination method using direction of arrival （DOA） estimation of a ground signal source. It differs from optical measurement, magnetic field measurement, inertial measurement, and global positioning system （GPS） attitude determination. The proposed method is characterized by taking the ground signal source as the attitude reference and acquiring attitude information from DOA estimation. Firstly, an attitude measurement equation with DOA estimation is derived in detail. Then, the error of the measurement equation is analyzed. Finally, an attitude determination algorithm is presented using a dynamic model, the attitude measurement equation, and measurement errors. A developing low Earth orbit （LEO） satellite which tests mobile communication technology with smart antennas can be stabilized in three axes by corporately using a magnetometer, reaction wheels, and three-axis magnetorquer rods. Based on the communication satellite, simulation results demonstrate the effectiveness of the method. The method could be a backup of attitude determination to prevent a system failure on the satellite. Its precision depends on the number of snapshots and the input signal-to-noise ratio （SNR） with DOA estimation.