• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>INCAS Bulletin >Comparative Analysis of Low Earth Orbit Satellite Attitude Determination using Sensor Integration and Attitude Estimation using Kalman Filter
【24h】

Comparative Analysis of Low Earth Orbit Satellite Attitude Determination using Sensor Integration and Attitude Estimation using Kalman Filter

机译：使用Kalman滤波器使用传感器集成和姿态估计的低地轨道卫星姿态测定的比较分析

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The objective of the research is to undergo a performance comparison in terms of accuracy, convergence time, amount of memory, etc. between the satellite attitude determination and attitude estimation using non-linear filters. The fundamental approach towards it is to design an OBC (On Board Computer) that would help in achieving a controlled output for the chosen plant (MicroMAS1 satellite). The attitude determination algorithm is implemented through TRIAD algorithm, which takes sensor readings of body frame and inertial frame of reference. Then it is used to determine the rotation matrix (DCM) by converting the matrix form into vector form and again back to matrix form to determine the 3x3 matrix, which includes all the Euler angle equations to determine the pitch, roll, yaw characteristics of the system. The attitude estimation algorithms involves the use of nonlinear filters which provide an added advantage that energy can be transferred in a designed manner and extra degrees of freedom are available in filter design. The Unscented Kalman Filter (UKF) is preferred as it addresses the problem using a deterministic sampling approach. Moreover, the non-linear filters are used to remove the noise error and disturbance caused by engine. The design of satellite attitude models involves more of a mathematical approach that would be dealt with MATLAB and SIMULINK operations.
机译：研究的目的是在使用非线性滤波器的卫星姿态确定和姿态估计方面进行性能比较，收敛时间，存储器等。它的基本方法是设计obc（在电脑上），这有助于实现所选工厂（Micromas1卫星）的受控输出。通过三合会算法实现姿态确定算法，其采用身体帧的传感器读数和惯性帧。然后用于通过将矩阵形式转换为载体形式并再次回到矩阵形式以确定3×3矩阵来确定旋转矩阵（DCM），包括所有欧拉角度方程来确定音高，滚动，偏航特性的所有欧拉角度方程系统。姿态估计算法涉及使用非线性滤光器，该非线性过滤器提供了一种额外的优点，即可以以设计的方式转移能量，并且在过滤器设计中可获得额外的自由度。未加注的卡尔曼滤波器（UKF）是优选的，因为它使用确定性采样方法解决了问题。此外，非线性滤波器用于去除发动机引起的噪声误差和干扰。卫星姿态模型的设计涉及更多的数学方法，将处理Matlab和Simulink操作。

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