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Variable-Time-Domain Neighboring Optimal Guidance and Attitude Control for Low-Thrust Orbit Transfers

机译:低推力轨道转移的时域近邻最优制导和姿态控制

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In the last decades, low-thrust propulsion has gained an increasing interest by the scientific community, and has been already employed in some mission scenarios. This work proposes a unified guidance and control architecture, termed VTD-NOG & PD-RM, and describes its application to low-thrust orbit transfer from LEO to GEO. The variable time-domain neighboring optimal guidance (VTD-NOG) is a feedback guidance technique based upon minimizing the second differential of the objective function along the perturbed trajectory. This minimization principle leads to deriving all the corrective maneuvers, while avoiding possible singularities that often arise in alternative neighboring optimal guidance schemes. VTD-NOG identifies the trajectory corrections by assuming a thrust direction always aligned with the longitudinal axis, thus generating a discontinuous commanded attitude. A proportional-derivative approach based on rotation matrices (PD-RM) is employed in order to drive the actual spacecraft orientation toward the desired one. Reaction wheels are employed to perform the attitude control action. In the dynamical simulations, oscillating perturbations of the propulsive thrust, errors on the initial conditions, and gravitational perturbations are considered. Extensive Monte Carlo campaigns point out that orbit injection at GEO occurs with very satisfactory accuracy, thus demonstrating that VTD-NOG & PD-RM indeed represents an effective methodology for the application at hand.
机译:在过去的几十年中,低推力推进引起了科学界的越来越多的关注,并且已经在某些任务场景中使用。这项工作提出了一个统一的制导和控制架构,称为VTD-NOG和PD-RM,并描述了其在从LEO到GEO的低推力轨道转移中的应用。可变时域邻近最优指导(VTD-NOG)是一种反馈指导技术,它基于最小化沿扰动轨迹的目标函数的二阶微分。这种最小化原理导致推导所有的校正动作,同时避免了可能的奇异性,而这些奇异性经常出现在替代性的相邻最优制导方案中。 VTD-NOG通过假设推力方向始终与纵轴对齐来识别轨迹校正,从而生成不连续的命令姿态。为了驱动实际的航天器朝向所需的方向,采用了基于旋转矩阵(PD-RM)的比例微分方法。反作用轮用于执行姿态控制动作。在动力学模拟中,考虑了推进推力的振动扰动,初始条件下的误差以及重力扰动。广泛的蒙特卡洛竞选活动指出,在地球静止轨道进行轨道注入的准确性非常令人满意,因此证明了VTD-NOG和PD-RM确实代表了一种有效的应用方法。

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