An attitude determination algorithm for a spacecraft using nonlinear filter

被引:0
作者
Yong Joong Yoon
Jae Weon Choi
Jang Gyu Lee
Tae Hyun Fang
机构
[1] Korea Telecom,Satellite Business Center
[2] Research Institute of Mechanical Technology and Pusan National University,School of Mechanical Engineering
[3] Automatic Control Research Center and Seoul National University,School of Electrical Engineering
[4] Research Institute of Mechanical Technology and Pusan National University,School of Mechanical Engineering
来源
KSME International Journal | 1999年 / 13卷
关键词
Kalman Filter; Nonlinear Filter; Attitude Estimation; Spacecraft;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, the algorithm for a real time attitude estimation of a spacecraft motion is investigated. The proposed algorithm for attitude estimation is the second order nonlinear filter form not containing truncation error in estimation values. The proposed second order nonlinear filter has improved performance compared with the EKF (extended Kalman filter), because the algorithm does not contain any truncation bias and covariance of the estimator is compensated by the nonlinear terms of the system. Therefore, the proposed second order nonlinear filter is a suboptimal estimator. However, the proposed estimator requires a lot of computation because of an inherent nonlinearity and complexity of the system model. For more efficient computation, this paper introduces a new attitude estimation algorithm using the state divided technique for a real time processing which is developed to provide an accurate attitude determination capability under a highly maneuverable dynamic environment.
引用
收藏
页码:130 / 143
页数:13
相关论文
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