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Variable-time-domain neighboring optimal guidance applied to space trajectories

机译:应用于时空轨迹的可变时域邻域最优制导

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This research describes and applies the recently introduced, general-purpose variable-time-domain neighboring optimal guidance scheme, which is capable of driving a space vehicle in the proximity of a specified nominal, optimal path. This goal is achieved by minimizing the second differential of the objective function (related to fuel consumption) along the perturbed trajectory. This minimization principle leads to deriving all the corrective maneuvers, in the context of a closed-loop guidance scheme. Several time-varying gain matrices, referring to the nominal trajectory, are defined, computed offline, and stored in the onboard computer. Original analytical developments, based on optimal control theory and adoption of a variable time domain, constitute the theoretical foundation for three relevant features that characterize the guidance algorithm used in this work: (i) a new, efficient law for the real-time update of the time of flight (usually referred to as time-to-go), (ii) a new, effective termination criterion, and (iii) a new formulation of the sweep method. As a first application, this paper considers minimum-time lunar ascent and descent paths, under the flat Moon approximation. The second application is represented by the minimum-time, continuous-thrust orbit transfer between two coplanar circular orbits. In both cases, the nominal trajectories are two-dimensional, while the corresponding perturbed paths are three-dimensional. Specifically, perturbations arising from the imperfect knowledge of the propulsive parameters and from errors in the initial conditions are included in the dynamical simulations. Extensive Monte Carlo tests are performed, and definitely prove the effectiveness and accuracy of the variable-time-domain neighboring optimal guidance algorithm. (C) 2015 IAA. Published by Elsevier Ltd. All rights reserved.
机译:这项研究描述并应用了最近推出的通用可变时域邻近最佳制导方案,该方案能够在指定的标称最佳路径附近驾驶太空飞行器。通过使目标函数沿扰动轨迹的二次微分(与燃料消耗有关)最小化来实现此目标。这种最小化原理导致在闭环制导方案的背景下推导所有纠正措施。定义,参照离线轨迹定义了几种随时间变化的增益矩阵,并离线计算并存储在车载计算机中。基于最佳控制理论和采用可变时域的原始分析技术发展,为表征本研究中使用的制导算法的三个相关特征奠定了理论基础:(i)一种新的,有效的实时法则更新法则。飞行时间(通常称为飞行时间),(ii)新的有效终止标准,以及(iii)新的后掠方法公式。作为首次应用,本文考虑了在月球近似下的最小时间登月和下降路径。第二个应用程序是通过两个共面圆轨道之间的最小时间连续推力轨道转移来表示的。在这两种情况下,标称轨迹都是二维的,而相应的扰动路径是三维的。具体来说,动力仿真中包括对推进参数的不完全了解和初始条件中的误差所引起的扰动。进行了广泛的蒙特卡洛测试,并明确证明了时域可变邻域最优制导算法的有效性和准确性。 (C)2015年IAA。由Elsevier Ltd.出版。保留所有权利。

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