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spacecrafts
    To solve the nonlinear attitude control problem of a class of spacecrafts, the strongly coupled dynamics model is decomposed into some subsystems and the coupling between the subsystems, unmodelled dynamics and exterior disturbances are regarded as the uncertainty of the system.
    针对一类空间飞行器的非线性姿态控制问题 ,首先通过变换将其强耦合模型分解成若干个子系统 ,把各子系统之间的耦合、未建模动态和外界扰动视为系统的不确定性。
    The simulation results show that under the noise level of 0.03 pixels error the calibration accuracy of 1 arc-second can be obtained by the scheme and it can meet the demand of high-accuracy attitude-measurement of modern space spacecrafts.
    仿真结果表明在 0.03 像素误差的噪声水平下该方案能够达到 1″精度,可以满足现代空间飞行器的高精度姿态测量要求。
    In the research of relative pose for spacecrafts based-on machine vision,the feature extraction algorithm was the basis of relative pose.
    在基于机器视觉的空间飞行器相对定姿研究中,特征提取算法是相对定姿的基础。
    A feature extraction algorithm for spacecrafts based-on mathematical morphology was proposed. Infused organically the attitude and orbit(information) of spacecrafts,structuring elements were reconstructed dynamically in feature(extraction) of this algorithm.
    提出了基于数学形态学的空间飞行器特征提取算法,该算法有机地融入了空间飞行器的姿轨信息,实现了特征提取中结构元素的动态重构。
    The simulations show that this algorithm is a valid method to solve the problems of spacecrafts feature extraction. It is also especially valuable for the thought of structuring elements selecting dynamically to use in correlative research fields
    仿真结果表明,该算法是解决空间飞行器特征提取的一种有效方法,尤其是结构元素的动态选取思路在相关研究领域也具有一定的参考价值。
 

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