现代防御技术 ›› 2021, Vol. 49 ›› Issue (1): 66-74.DOI: 10.3969/j.issn.1009-086x.2021.01.010

• 导航、制导与控制 • 上一篇    下一篇

一种单轴旋转的车载IMU/DTU组合导航方法

陈鸿跃, 陈雨, 赵晓伟, 曹全, 孙寿才   

  1. 北京航天发射技术研究所,北京 100076
  • 收稿日期:2019-03-10 修回日期:2020-11-09 出版日期:2021-02-20 发布日期:2021-03-04
  • 作者简介:陈鸿跃(1987-),男,内蒙古。高工,硕士,主要从事惯性导航及组合导航技术研究。通信地址:100076 北京市丰台区南大红门路1号9200信箱71分箱 E-mail:cfplyzdy@163.com

Single Axis Rotation IMU/DTU Integrated Navigation Algorithm for Marching Vehicles

CHEN Hong-yue, CHEN Yu, ZHAO Xiao-wei, CAO Quan, SUN Shou-cai   

  1. Beijing Institute of Space Launch Technology,Beijing 100076,China
  • Received:2019-03-10 Revised:2020-11-09 Online:2021-02-20 Published:2021-03-04

摘要: 长时间机动工况时,某些复杂路况和车况环境下,捷联惯导组合导航系统方位角误差将增大。基于已有组合导航算法框架,提出了一种基于单轴旋转调制的组合导航方法。采用21维IMU/DTU(里程计)误差状态构造状态方程,以捷联惯导解算的位移增量与里程计解算的位移增量之差作为观测量,Kalman滤波器融合惯导与里程计信息,利用旋转调制机制,可对消IMU/DTU组合导航系统主要误差,实时输出高精度的方位数据和位置数据,对载车的行驶状态无特殊要求。进行了仿真试验和实车试验。试验结果表明:该方法能够在长时间机动工况下实现较高的方位精度和位置精度。挖掘了惯导组合导航系统的潜在精度,提高了快速反应能力、环境适应性和可用性,具有较好的工程应用价值。

关键词: 旋转调制, 里程计, Kalman滤波, 组合导航, 方位保持, 定位

Abstract: Heading error of Strapdown inertial navigation system (INS) may be enlarged in some complicated road and vehicle conditions when maneuvering long time.An integrated navigation algorithm based on single INS (SINS) integrated navigation algorithm frame was presented.Integrated navigation was achieved through Kalman filter with 21 error states of the inertial measurement unit/distance transfer unit (IMU/DTU),which selected the difference between the displacement increment obtained respectively from the INS and the DTUas the observation term.Most errors of IMU/DTU integrated navigation system was canceled automatically by way of rotation and Kalman filter,which integrated information from the INS and the DTU.Precise position information and attitude information could be output without special conditions for marching vehicles.Some simulation experiments and vehicular tests were executed,which showed that the algorithm was able to achieve precise heading(attitude) and position.Potential accuracy was discovered.Rapid response capability,environmental adaptability and usability were improved greatly.

Key words: rotation-modulation, DTU, Kalman filtering, integrated navigation, heading keeping, positioning

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