• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of aerospace engineering >Nontraditional Attitude Filtering with Simultaneous Process and Measurement Covariance Adaptation
【24h】

Nontraditional Attitude Filtering with Simultaneous Process and Measurement Covariance Adaptation

机译：同时进行过程和测量协方差自适应的非传统姿态过滤

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study discusses simultaneous adaptation of the process and measurement noise covariance matrixes for a nontraditional attitude filtering algorithm. The nontraditional attitude filtering algorithm integrates the singular value decomposition (SVD) method with the unscented Kalman filter (UKF) to estimate the attitude of a nanosatellite. The SVD method uses magnetometer and Sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite, giving one estimate at a single frame. Then these estimated attitude terms are used as input to an adaptive UKF. The conventional UKF and the proposed adaptive UKF were compared with demonstrations of the attitude and attitude rate estimation of the satellite. Specifically, the Q (process noise covariance)-adaptation method is proposed. In the case of process noise increment, which may be caused by the changes in the environment or satellite dynamics, the performance of the Q-adaptive UKF was investigated.
机译：这项研究讨论了针对非传统姿态过滤算法的过程和测量噪声协方差矩阵的同时适应。非传统姿态过滤算法将奇异值分解（SVD）方法与无味卡尔曼滤波器（UKF）集成在一起，以估计纳米卫星的姿态。 SVD方法使用磁力仪和太阳传感器测量作为算法的第一阶段，并估计纳米卫星的姿态，从而在单个帧上给出一个估计。然后，将这些估计的姿态项用作自适应UKF的输入。将传统的UKF和拟议的自适应UKF与卫星的姿态和姿态速率估计的演示进行了比较。具体地，提出了Q（过程噪声协方差）自适应方法。在过程噪声增加的情况下，这可能是由于环境或卫星动力学的变化引起的，研究了Q自适应UKF的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号