论文标题
敏捷任务中最佳视线转向的顺序凸编程
Sequential Convex Programming for Optimal Line of Sight Steering in Agile Missions
论文作者
论文摘要
船上自主权和航天器的最小化趋势通过最佳利用有限的扭矩资源来最大程度地提高了有效的视力管理进展潜力。在参议员航空航天，我们正在实施能够在不同观察方案中提供敏捷性的AOC算法，在不同的观察方案中，对资源的开发是对任务成功至关重要的。在这项贡献中，我们为车载指导，参议员优化工具箱提供了内部优化工具箱，并提出了使用控制矩陀螺仪的敏捷空间仪的在线态度指导的使用。我们根据顺序凸面编程提出了不同的优化方案，旨在减轻实时实现的计算负担。结果突出了在使用嵌入式最佳控制动作的最佳控制时的性能提高的潜力：通过拟议的方案，我们找到了隐式管理奇异性的解决方案，并且比古典的Bang-Bang-bang手术更快地高达12.2％，同时增加轨迹的平滑度以最大程度地减少灵活模式的激发。
The trend toward onboard autonomy and spacecraft minimization present significant potential for advances in efficient Line of Sight management by making optimal use of the limited torque resources available. At SENER Aeroespacial, we are implementing AOCS algorithms capable of providing agility in different observation scenarios in which the exploitation of the resources is fundamental for the mission success. In this contribution, we present an in-house optimization toolbox for onboard guidance, the SENER Optimization Toolbox, and we propose its use for online attitude guidance of an agile space-craft using Control Moment Gyroscopes. We propose different optimization schemes based on Sequential Convex Programming aiming for reducing the computational burden for real-time implementations. The results highlight the potential for performance improvements when making use of embedded optimal control for fast slew maneuvers: with proposed schemes, we find solutions that implicitly manage singularities and are up to 12.2% faster than classical bang-bang maneuvers while increasing the smoothness of the trajectories to minimize the excitation of flexible modes.
