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基于Levenberg-Marquardt算法的无人机多传感器校正方法研究
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广东省省级科技计划项目 (2018B030323027)


Research on Multi-sensor Calibration Method of UAV Based on Levenberg-Marquardt Algorithm
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    摘要:

    四旋翼无人机上搭载的低成本MEMS传感器易受安装、测量、信号传输等误差的影响,导致姿态输出精度不足。为此,提出一种基于Levenberg-Marquardt (L-M)算法的三轴加速度计18个位置和三轴陀螺仪联合校正方法。在考虑传感器误差的基础上,采集并筛取3种传感器有效的输出数据,利用L-M算法对各传感器误差模型的待求参数进行最优估计。实验结果表明:校正补偿后,加速度计校正指标相比下降了98.96%,陀螺仪校正指标下降了74.33%,磁力计数据模值相比校正前与当地磁场强度差值大幅减小。此校正方法能够实现四旋翼机载MEMS传感器误差的有效补偿,具有良好的工程应用价值。

    Abstract:

    The low-cost MEMS sensor carried on the quadrotor UAV is susceptible to errors,such as installation,measurement and signal transmission,resulting in insufficient attitude output accuracy.For this question,a joint correction method for three-axis accelerometer 18 position and three-axis gyroscope was proposed based on Levenberg-Marquardt (L-M) algorithm.On the basis of considering sensor error,the effective output data of three sensors were collected and screened,the L-M algorithm was used to estimate the parameters of each sensor error model optimally.The experimental results show that after correction and compensation,the calibration indexes of accelerometer and gyroscope decrease by 98.96% and 74.33%,and the difference between the magnetometer data modulus and the local magnetic field intensity decreases significantly.The correction method can be used to effectively compensate the error of the four-rotor airborne MEMS sensor,and has good engineering application value.

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肖舜仁,胡青春,李妮妮,陈兴彬.基于Levenberg-Marquardt算法的无人机多传感器校正方法研究[J].机床与液压,2022,50(10):12-18.
XIAO Shunren, HU Qingchun, LI Nini, CHEN Xingbin. Research on Multi-sensor Calibration Method of UAV Based on Levenberg-Marquardt Algorithm[J]. Machine Tool & Hydraulics,2022,50(10):12-18

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  • 在线发布日期: 2022-06-30
  • 出版日期: 2022-05-28