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GA-BASED OPTIMIZATION FOR FORMATION FLYING INITIALIZATION

机译:基于GA的形成飞行初始化优化

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On condition of J2 and atmosphere drag perturbation are both present, an optimization algorithm for formation design is proposed, by which the designed formation subjects to destroyment influence from perturbation to the least extent. First, the concept of relative eccentricity and relative inclination vector are introduced and the corresponding relative motion dynamics is established. Then, based on relationship between relative eccentricity, relative inclination and initial relative position, relative velocity, a performance index function describing the extent of formation deviation from its desired state under the action of perturbation is established , which takes formation deviation problem into account from viewpoint of harmonic vibration error, constant error and secular drift. After that, based on theory of mean orbital elements, Genetic Algorithm is used to optimize the given function to get its minimum value, from which the objective of formation design is achieved. In the end, comparing simulation results between the formation designed by J2 invariant formation theory and that from proposed method shows effectiveness and superiority of the given algorithm.
机译:在J2和大气中的条件下,提出了一种用于形成设计的优化算法,通过该优化算法,其中设计的地层对扰动的破坏影响最小程度。首先,引入了相对偏心和相对倾斜矢量的概念,并建立了相应的相对运动动态。然后,建立了基于相对偏心,相对倾斜度和初始相对位置的关系,相对速度,描述在扰动作用下描述形成偏离的形成偏差程度的性能指标函数,从观点来看,考虑了形成偏差问题谐振振动误差,恒定误差和世俗漂移。之后,基于平均轨道元素的理论,遗传算法用于优化给定的功能以获得其最小值,从而实现了地层设计的目的。最后,比较由J2不变形成理论设计的地层之间的模拟结果,以及从所提出的方法显示给定算法的有效性和优越性。

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