CN108088465A - A kind of magnetic heading online calibration method - Google Patents
A kind of magnetic heading online calibration method Download PDFInfo
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Abstract
本发明属于导航参数标定技术领域,具体涉及一种磁航向在线标定方法。当载体的姿态变化时,三轴磁传感器的测量磁力在空间中的轨迹是一个球形。当受到硬磁影响时,其圆心位置会发生变化;受到软磁影响后,其圆球形状会发生畸变变成椭圆。本发明的方法利用上述原理,通过MEMS组合导航系统在无人机上的转动,测量磁力在空间中的轨迹,采用数据拟合算法将受到干扰后的椭圆补偿成圆形,即可以完成磁传感器参数的标定。本发明需要解决传统针对磁传感器的标定方法主要采用无磁转台多位置标定的方式,标定周期长,适用性较差的技术问题,无需使用无磁转台,不对MEMS组合导航系统进行拆卸,在线对磁航向角进行标定,标定周期短,适应性较好。The invention belongs to the technical field of navigation parameter calibration, and in particular relates to an online calibration method for magnetic heading. When the attitude of the carrier changes, the track of the measured magnetic force of the three-axis magnetic sensor in space is a spherical shape. When affected by hard magnetism, the position of its center will change; after being affected by soft magnetism, its spherical shape will be distorted into an ellipse. The method of the present invention utilizes the above principles to measure the trajectory of the magnetic force in space through the rotation of the MEMS integrated navigation system on the UAV, and use the data fitting algorithm to compensate the disturbed ellipse into a circle, which can complete the magnetic sensor parameters. calibration. The present invention needs to solve the technical problems that the traditional calibration method for magnetic sensors mainly adopts the non-magnetic turntable multi-position calibration method, the calibration period is long, and the applicability is poor. It does not need to use a non-magnetic turntable, does not disassemble the MEMS integrated navigation system, and performs online calibration. The magnetic heading angle is calibrated, the calibration period is short, and the adaptability is good.
Description
技术领域technical field
本发明属于导航参数标定技术领域,具体涉及一种磁航向在线标定方法。The invention belongs to the technical field of navigation parameter calibration, and in particular relates to an online calibration method for magnetic heading.
背景技术Background technique
现有的无人机飞控用导航系统,多采用MEMS惯性/卫星/磁/气压多传感器组合导航。由于MEMS惯导系统的精度较低,无法找北,因此需要利用磁航向为惯导的初始对准和导航建立航向基准。The existing navigation systems for UAV flight control mostly use MEMS inertial/satellite/magnetic/air pressure multi-sensor integrated navigation. Due to the low accuracy of the MEMS inertial navigation system, it is impossible to find north, so it is necessary to use the magnetic heading to establish a heading reference for the initial alignment and navigation of the inertial navigation system.
但是,无人机内部的发动机及其它结构件存在着铁磁干扰,会导致在地面标定的磁传感器参数无法在无人机上使用;此外,长期使用过程中许多器件被磁化,导致了磁航向在长期使用过程中导航精度变差。而传统针对磁传感器的标定方法主要采用无磁转台多位置标定的方式,标定周期长,适用性较差。However, there is ferromagnetic interference in the engine and other structural parts inside the UAV, which will cause the magnetic sensor parameters calibrated on the ground to be unusable on the UAV; in addition, many devices are magnetized during long-term use, resulting in the magnetic heading Navigation accuracy deteriorates during long-term use. However, the traditional calibration method for magnetic sensors mainly adopts the non-magnetic turntable multi-position calibration method, which has a long calibration cycle and poor applicability.
发明内容Contents of the invention
本发明需要解决的技术问题为:传统针对磁传感器的标定方法主要采用无磁转台多位置标定的方式,标定周期长,适用性较差。The technical problem to be solved in the present invention is: the traditional calibration method for magnetic sensors mainly adopts the non-magnetic turntable multi-position calibration method, which has a long calibration period and poor applicability.
本发明的技术方案如下所述:Technical scheme of the present invention is as follows:
首先将MEMS组合导航系统转动一周,过程中采集5个样本点;那么根据椭圆方程有:First, rotate the MEMS integrated navigation system for one circle, and collect 5 sample points during the process; then according to the elliptic equation:
其中,Hx1i、Hy1i(i=1~5)为原始水平磁场强度,通过下式计算得到;Among them, H x1i and H y1i (i=1~5) are the original horizontal magnetic field strength, calculated by the following formula;
Hx1=Mx cosθ+My sinθH x1 =Mx cosθ+My sinθ
Hy1=Mx sinθsinγ+My cosγ-Mz cosθsinγH y1 =Mx sinθsinγ+My cosγ-Mz cosθsinγ
Mx,My,Mz分别为计磁传感器给出的前右下坐标系中XYZ三个方向的原始磁场强度,其中X轴为前向,Y轴为右向,Z轴为下向,γ为载体的横滚角,θ为载体的俯仰角;Mx, My, and Mz are the original magnetic field strengths in the three directions of XYZ in the front lower right coordinate system given by the magnetic sensor, where the X axis is forward, the Y axis is right, the Z axis is downward, and γ is the carrier The roll angle of , θ is the pitch angle of the carrier;
则使用下式求出椭圆相关系数:Then use the following formula to find the ellipse correlation coefficient:
其中,σ为椭圆扁率,Bx和By为椭圆中心相对于原点的位置,Kx和Ky为椭圆的半长轴和半短轴;Among them, σ is the oblateness of the ellipse, B x and B y are the positions of the center of the ellipse relative to the origin, K x and K y are the semi-major and semi-minor axes of the ellipse;
则补偿后的水平方向磁场强度为:Then the compensated horizontal magnetic field strength is:
Hx=(Hx1-Bx)/Kx H x =(H x1 -B x )/K x
Hy=(Hy1-By)/Ky H y =(H y1 -B y )/K y
其中,Hx为前向磁场强度,Hy为右向磁场强度;则磁航向角ψ通过下式计算:Among them, H x is the forward magnetic field strength, H y is the right magnetic field strength; then the magnetic heading angle ψ is calculated by the following formula:
ψ=arctan(Hy/Hx)。ψ = arctan(H y /H x ).
本发明的有益效果为:本发明的标定方法,无需使用无磁转台,不对MEMS组合导航系统进行拆卸,在线对磁航向角进行标定,标定周期短,适应性较好。The beneficial effects of the present invention are: the calibration method of the present invention does not need to use a non-magnetic turntable, does not dismantle the MEMS integrated navigation system, and can calibrate the magnetic heading angle online, with short calibration period and good adaptability.
具体实施方式Detailed ways
当载体的姿态变化时,三轴磁传感器的测量磁力在空间中的轨迹是一个球形。当受到硬磁影响时,其圆心位置会发生变化;受到软磁影响后,其圆球形状会发生畸变变成椭圆。本发明的方法利用上述原理,通过MEMS组合导航系统在无人机上的转动,测量磁力在空间中的轨迹,采用数据拟合算法将受到干扰后的椭圆补偿成圆形,即可以完成磁传感器参数的标定。When the attitude of the carrier changes, the track of the measured magnetic force of the three-axis magnetic sensor in space is a spherical shape. When affected by hard magnetism, the position of its center will change; after being affected by soft magnetism, its spherical shape will be distorted into an ellipse. The method of the present invention utilizes the above principles to measure the trajectory of the magnetic force in space through the rotation of the MEMS integrated navigation system on the UAV, and use the data fitting algorithm to compensate the disturbed ellipse into a circle, which can complete the magnetic sensor parameters. calibration.
计磁传感器给出的前右下坐标系中XYZ三个方向的原始磁场强度为:Mx,My,Mz,其中X轴为前向,Y轴为右向,Z轴为下向,载体的横滚角为γ,俯仰角为θ。The original magnetic field strength in the three directions of XYZ in the front lower right coordinate system given by the magnetic sensor is: Mx, My, Mz, where the X axis is forward, the Y axis is right, the Z axis is downward, and the horizontal direction of the carrier is The roll angle is γ and the pitch angle is θ.
那么通过姿态分解得到的水平方向的原始磁场强度为:Then the original magnetic field strength in the horizontal direction obtained by attitude decomposition is:
为了完成磁航向的在线标定,首先将MEMS组合导航系统转动一周,过程中采集5个样本点。那么根据椭圆方程有:In order to complete the online calibration of the magnetic heading, the MEMS integrated navigation system is first rotated for one revolution, and 5 sample points are collected during the process. Then according to the elliptic equation:
其中,Hx1i、Hy1i(i=1~5)为通过式(1)计算得到的原始水平磁场强度。那么可以求出椭圆相关系数:Wherein, H x1i , Hy1i (i=1-5) are original horizontal magnetic field strengths calculated by formula (1). Then the elliptic correlation coefficient can be obtained:
其中,σ为椭圆扁率,Bx和By为椭圆中心相对于原点的位置,Kx和Ky为椭圆的半长轴和半短轴。Among them, σ is the oblateness of the ellipse, B x and By are the positions of the center of the ellipse relative to the origin, K x and K y are the semi-major and semi-minor axes of the ellipse.
则补偿后的水平方向磁场强度为:Then the compensated horizontal magnetic field strength is:
进而完成磁航向求解:Then complete the magnetic heading solution:
ψ=arctan(Hy/Hx) (5)。ψ = arctan (H y /H x ) (5).
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CN110108264A (en) * | 2019-05-24 | 2019-08-09 | 北京韦加无人机科技股份有限公司 | A kind of unmanned plane horizontally rotates school magnetism method in the air |
CN115014397A (en) * | 2022-06-30 | 2022-09-06 | 北京理工大学 | A strapdown magnetometer transfer calibration method and split calibration device |
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