86 / 2021-09-09 17:10:54
车载惯性/磁力计的硬磁干扰抑制及方位估计 Hard iron interference suppression and heading estimation for vehicle-mounted INS/magnetometer integration
车载航向,惯性/磁力计,硬磁干扰,粒子滤波
Draft Accepted
崔旭飞 / 哈尔滨工程大学
李一兵 / 哈尔滨工程大学
王秋滢 / 哈尔滨工程大学
摘  要:基于惯性/磁力计的信息融合广泛使用于低成本导航系统。针对惯性航向的累积误差问题,这种组合方式比仅依靠磁力计更为有效。但是,磁力计易受附近铁磁材料或强电流产生的局部磁场干扰,进一步影响信息融合的航向精度。当磁力计安装在动力部件(发动机等)附近时,可以只考虑硬磁干扰而忽略软磁干扰。本文针对硬磁干扰引起的惯性/磁力计组合航向不准确的问题,建立航向与硬磁干扰的非线性模型,并使用粒子滤波实现惯性/磁力计车载航向估计。最后,实验结果表明该算法有效提高了车载航向的计算精度。

Abstract: Inertial navigation system (INS)/magnetometer integration is widely used in low-cost navigation systems. On the problem of suppressing the cumulative error of the INS heading, the combination method is more effective than relying only on the magnetometer. However, the magnetometer is susceptible to interference from nearby ferromagnetic materials or local magnetic fields generated by strong currents, which reduces the heading accuracy of information fusion. When the magnetometer is installed near power components (engines, etc.), only hard iron interference can be considered, and soft magnetic interference can be ignored. Hence, An INS/magnetometer information fusion method based on particle filter (PF) is proposed in this paper. A nonlinear model of heading and hard iron interference is established, then PF is adopted to realize the INS/magnetometer vehicle heading estimation. Finally, the experiment  results show that the proposed algorithm effectively improves accuracy of the vehicle heading.

 
Important Date
  • Conference Date

    Oct 08

    2021

    to

    Oct 10

    2021

  • Sep 20 2021

    Early Bird Registration

  • Oct 10 2021

    Registration deadline

  • Dec 31 2021

    Draft paper submission deadline

Sponsored By
中国航天科工集团有限公司科技委
绍兴市人民政府
浙江理工大学
中国仿真学会
中国计算机自动测量与控制技术协会
中国航天第二专业(导弹总体)信息网
中国航天第三专业(空天动力)信息网
中国航天第四专业(导航与控制)信息网
Organized By
北京仿真中心
北京航天情报与信息研究所
北京动力机械研究所
北京自动化控制设备研究所
北方科技信息研究所
柯桥区人民政府
浙江理工大学柯桥研究院
深圳航天科创实业有限公司
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