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A strong tracking Extended Kalman Observer for projectile attitude and position estimation

机译:强大的跟踪扩展卡尔曼观测器,用于弹丸姿态和位置估计

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摘要

In this note we focus on convergence behavior of the Extended Kalman Filter used as a state estimator for projectile attitude and position estimation. We provide first the complete dynamical model, into a non linear state space form, to describe the projectile behavior. Due to strong non linearities and poor observability of the system, very few estimation techniques could be applied, among them the celebrate EKF. The later is, however, very sensitive to bad initializations and small perturbations. The main contribution of this work lies in the use of a modified EKF to assure a strong tracking using magnetometer sensor only. The modified EKF follows from the connection of some instrumental matrices, fixed by the user, and the convergence behavior. Simulation results show the good performances of the proposed approach.
机译:在本说明中,我们专注于扩展卡尔曼滤波器的收敛行为,该滤波器用作弹丸姿态和位置估计的状态估计器。我们首先提供完整的动力学模型,以非线性状态空间形式描述弹丸行为。由于强烈的非线性和系统的可观察性差,因此几乎无法应用估计技术,其中包括著名的EKF。但是,后者对不良的初始化和较小的扰动非常敏感。这项工作的主要贡献在于使用改良的EKF来确保仅使用磁力计传感器进行强跟踪。修改后的EKF来自用户固定的一些仪器矩阵的连接以及收敛行为。仿真结果表明了该方法的良好性能。

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