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导弹与制导技术

基于卡尔曼/状态反馈滤波的SINS/DR导航算法研究

  • 汤霞清 ,
  • 郭官周 ,
  • 张环 ,
  • 郭理彬
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  • 装甲兵工程学院,北京 100072

汤霞清(1965-),男,湖南长沙人,教授,研究方向:惯性测量与导航。

收稿日期: 2010-01-21

  网络出版日期: 2025-05-28

基金资助

国防预先研究基金资助项目

SINS/DR Navigation Algorithms Based on Kalman Filter/State Feedback

  • TANG Xiaqing ,
  • GUO Guanzhou ,
  • ZHANG Huan ,
  • GUO Libin
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  • The Academy of Armored Force Engineering, Beijing 100072, China

Received date: 2010-01-21

  Online published: 2025-05-28

摘要

针对SINS/GPS组合导航系统在GPS信号出现故障时不能正常工作的问题,提出了利用里程计与SINS组合的导航系统。在分析组合系统数学模型的基础上,设计了基于卡尔曼/状态反馈算法的新型滤波器。该滤波器基于最优控制的思想对卡尔曼滤波算法进行了改进,最终得到误差状态的估计值。仿真结果表明,改进后的卡尔曼滤波算法用于估计导航系统误差能够取得更加满意的效果。

本文引用格式

汤霞清 , 郭官周 , 张环 , 郭理彬 . 基于卡尔曼/状态反馈滤波的SINS/DR导航算法研究[J]. 弹箭与制导学报, 2010 , 30(6) : 10 -12 . DOI: 10.15892/j.cnki.djzdxb.2010.06.006

Abstract

Focused on the problem that SINS/GPS system doesn't work normally caused by trouble occurs to GPS signal, the navigation constituted by SINS and speedometer was presented in the paper. The math model of the SINS/DR was analyzed, and the new filter was designed based on the algorithm of Kalman filter/state feedback. The Kalman filter was improved based on the idea of optimal control. Then the estimation of error state was gained finally. The simulation results show that more satisfactory effect is achieved by the new filter.

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