首页> 外文期刊>Advances in Mechanical Engineering >Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions:
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Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions:

机译:使用双矢量四元数自由浮动空间对象的自适应姿态和惯性参数估计:

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The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector quaternions–based extended Kalman filter and a dual vector quaternions–based adaptive fading factors extended Kalman filter to estimate the parameters of a free-floating tumbling space target. Using the dual vector quaternions to model the kinematics and dynamics of the system, the representation of the model is concise and compact. Also, the translational and rotational coupled effects are considered. In addition, the estimation algorithm is designed by the innovation-based multiple adaptive fading factors. As a result, the dual vector quaternions–based adaptive fading factors extended Kalman filter is robust against the faulty measurements which may lead to divergence of the traditional extended Kalman filter. As far as the authors know, both the design...
机译:未知空间对象的鲁棒参数估计对于On-Orbit服务任务至关重要。基于自适应滤波技术以及对姿势估计的双季度建模方法,本文提出了一种基于双矢量四元数的扩展卡尔曼滤波器和基于双矢量四元数的自适应衰落因子扩展卡尔曼滤波器来估计自由的参数。浮动翻滚太空目标。使用双矢量四元数来模拟系统的运动学和动态,模型的表示简洁而紧凑。而且,考虑了平移和旋转耦合效果。此外,估计算法由基于创新的多种自适应衰落因子设计。结果,基于双矢量四元数的自适应衰落因子扩展卡尔曼滤波器对抗故障测量是鲁棒的,这可能导致传统的扩展卡尔曼滤波器的发散。就作者知道,这都是设计......

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