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首页> 外文期刊>Journal of aerospace engineering >Novel Cubature Predictive Filter for Relative Position and Attitude Estimation of Satellite Formation Considering J2
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Novel Cubature Predictive Filter for Relative Position and Attitude Estimation of Satellite Formation Considering J2

机译：考虑J2的新颖的Cubature预测滤波器用于卫星编队相对位置和姿态估计。

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摘要

A novel cubature predictive filter (CPF) is presented for relative position and attitude estimation of satellite formation taking into account the J2 perturbation. A coupled relative translational dynamics is derived to represent orbital motion of arbitrary feature points on deputy, and the relative attitude motion is formulated by the rotational dynamics for the satellite. Based on the proposed coupled dynamics, the CPF is developed based on the third-degree spherical-radial cubature rule, extending the study of a traditional predictive filter (PF). The algorithm flow of the CPF is proposed first. Then, it is demonstrated that the estimated accuracy of the model error and system state for CPF is higher than that of traditional PF. In addition, a cubature Kalman filter (CKF) is also employed in order to evaluate the performance of the proposed CPF. Several different scenarios are simulated to validate the effectiveness of the coupled dynamics model and the performance of the proposed CPF. Through comparisons, the proposed CPF is shown to yield to obtain more accurate relative position and attitude estimation for satellite formation.
机译：考虑到J2扰动，提出了一种新颖的孵化器预测滤波器（CPF），用于卫星编队的相对位置和姿态估计。导出耦合的相对平移动力学，以代表副特征点的轨道运动，相对姿态运动由卫星的旋转动力学表示。在提出的耦合动力学的基础上，CPF是基于三阶球面径向容积法则而开发的，扩展了对传统预测滤波器（PF）的研究。首先提出了CPF的算法流程。然后，证明了CPF的模型误差和系统状态的估计精度高于传统的PF。此外，还采用了库曼卡尔曼滤波器（CKF）来评估所提出的CPF的性能。模拟了几种不同的情况，以验证耦合动力学模型的有效性和所提出的CPF的性能。通过比较，表明所提出的CPF能够获得更准确的卫星编队相对位置和姿态估计。

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