导弹与制导技术

基于最优 REQUEST/CKF组合的航天器姿态确定

  • 肖支才 ,
  • 李海君 ,
  • 王朕
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  • 海军航空工程学院,山东烟台 264001

肖支才(1977-),男,湖北武汉人,副教授,博士,研究方向:导航与制导。

收稿日期: 2014-11-05

  网络出版日期: 2025-05-28

基金资助

航空科学基金资助

Spacecraft Attitude Determination of REQUEST/CKF Integration

  • XIAO Zhicai ,
  • LI Haijun ,
  • WANG Zhen
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  • Naval Aeronautical and Astronautical University Shandong Yantai 264001, China

Received date: 2014-11-05

  Online published: 2025-05-28

摘要

针对航天器姿态确定的高精度要求,提出一种基于最优递推四元数估计/容积卡尔曼滤波(REQUEST/CKF)的姿态估计器。该方法将最优递归四元数估计(REQUEST)方法和容积卡尔曼滤波(CKF)结合起来,用最优REQUEST方法确定的姿态四元数直接作为CKF滤波器的观测量,由CKF滤波估计陀螺漂移来补偿系统模型误差,从而提高了姿态确定的精度和收敛速度。仿真结果说明了方法的有效性。

本文引用格式

肖支才 , 李海君 , 王朕 . 基于最优 REQUEST/CKF组合的航天器姿态确定[J]. 弹箭与制导学报, 2015 , 35(6) : 1 -4,8 . DOI: 10.15892/j.cnki.djzdxb.2015.06.001

Abstract

According to high-precision requirement for spacecraft attitude determination, an integrated REQUEST/CKF attitude determination method was proposed. This method combines different characteristics of vector observation attitude determination algorithm and CKF algorithm to achieve high-precision attitude determination. The algorithm combines REQUEST and CKF. The quaternion determined by REQUEST is directly used as CKF filter observations, and CKF filter estimates gyro drift so that it can compensate for model error. Simulation results show effectiveness of the method.

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