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A near-optimal guidance for cooperative docking maneuvers

机译:协同对接演习的最佳指导

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In this work we study the problem of minimum energy docking maneuvers between two Floating Spacecraft Simulators. The maneuvers are planar and conducted autonomously in a cooperative mode. The proposed guidance strategy is based on the direct method known as Inverse Dynamics in the Virtual Domain, and the nonlinear programming solver known as Sequential Gradient-Restoration Algorithm. The combination of these methods allows for the quick prototyping of near-optimal trajectories, and results in an implementable tool for real-time closed-loop maneuvering. The experimental results included in this paper were obtained by exploiting the recently upgraded Floating Spacecraft-Simulator Testbed of the Spacecraft Robotics Laboratory at the Naval Postgraduate School. A direct performances comparison, in terms of maneuver energy and propellant mass, between the proposed guidance strategy and a LQR controller, demonstrates the effectiveness of the method.
机译:在这项工作中,我们研究了两个浮动航天器模拟器之间的最小能量对接机动问题。演习是平面的,并以协作模式自主进行。所提出的制导策略基于称为虚拟域中的逆动力学的直接方法和称为顺序梯度恢复算法的非线性规划求解器。这些方法的组合可实现对近乎理想的轨迹的快速原型制作,并为实时闭环操纵提供了可实施的工具。本文所包含的实验结果是通过利用海军研究生院太空船机器人实验室最近升级的浮动太空船-模拟器测试平台获得的。拟议的制导策略和LQR控制器之间在操纵能量和推进剂质量方面的直接性能比较证明了该方法的有效性。

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