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Development of GNC for Optimal Relative Spacecraft Trajectories

机译:用于最佳相对航天器轨迹的GNC的开发

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Satellite rendezvous and proximity operations (RPO) require Guidance, Navigation, and Control (GNC) systems that can effectively and efficiently manipulate a spacecraft's position with respect to another space object. This study develops a modular spacecraft GNC architecture capable of utilizing various combinations of optimal guidance, feedback control, and navigation filtering subsystems. To demonstrate the architecture, the system is implemented in simulation and is shown to be capable of commanding RPO maneuvers in a highly constrained space environment. A complex rendezvous scenario is examined using a variety of controllers, navigation filters, and sensor combinations. The scenario considers two spacecraft: a maneuvering inspector spacecraft, and a non-maneuvering resident space object (RSO). The inspector must navigate through a debris field, avoiding pre-determined keep-out zones while on an optimal path to rendezvous with the RSO. To do this, the proposed GNC architecture operates by tracking an optimal reference trajectory, generated by the guidance subsystem a priori. Two different types of full-state feedback controllers are compared to track the desired trajectory. A full state estimate is provided by any of four different types of navigation filters using simulated measurement information from on-board sensors. Four different types of sensor suites are simulated, capable of producing combinations of position, velocity, angles, and range measurements. Results demonstrate the system's ability to track an optimal trajectory, as well as the ability to quickly and easily modify the architecture using different options for each GNC subsystem. The architecture is intended to serve as a basis for future GNC research for satellite RPO.
机译:卫星交会和接近操作(RPO)需要制导,导航和控制(GNC)系统,该系统可以有效地,有效地操纵航天器相对于另一个空间物体的位置。这项研究开发了一种模块化的航天器GNC架构,该架构能够利用最佳制导,反馈控制和导航过滤子系统的各种组合。为了演示该体系结构,该系统以仿真方式实现,并被证明能够在高度受限的空间环境中指挥RPO机动。使用各种控制器,导航过滤器和传感器组合来检查复杂的集合场景。该方案考虑了两个航天器:机动检查飞行器和非机动驻留空间物体(RSO)。检查员必须在碎片场中导航,避免在与RSO会合的最佳路径上避开预定的避开区。为此,提出的GNC架构通过跟踪先导制导子系统生成的最佳参考轨迹来进行操作。比较了两种不同类型的全状态反馈控制器,以跟踪所需的轨迹。四种不同类型的导航过滤器中的任何一种都使用来自车载传感器的模拟测量信息来提供完整状态估算。模拟了四种不同类型的传感器套件,它们能够产生位置,速度,角度和范围测量值的组合。结果证明了系统跟踪最佳轨迹的能力,以及使用每个GNC子系统的不同选项快速轻松地修改体系结构的能力。该体系结构旨在用作未来GNC对卫星RPO进行研究的基础。

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