论文标题
次优的非线性模型预测控制策略，用于跟踪直线光环轨道附近
Suboptimal Nonlinear Model Predictive Control Strategies for Tracking Near Rectilinear Halo Orbits
论文作者
论文摘要
接近直线的光环轨道（NRHOS）是L1和L2 Lagrange点附近的光环轨道的子类，是在顺式LUNAR空间中未来月球网关的候选人，作为月球任务的舞台轨道。闭环控制有益于补偿轨道扰动和潜在的不稳定性，同时维持NRHOS上的航天器和进行相对运动动作。本文研究了使用非线性模型预测控制（NMPC），并与低推动执行器一起用于NRHOS上的站点。通过数值模拟证明，NMPC能够将航天器稳定为参考轨道并处理控制约束。此外，可以证明，NMPC的计算负担可以使用专门的优化例程和次优方法来管理，而不会损害闭环性能。
Near Rectilinear Halo Orbits (NRHOs), a subclass of halo orbits around the L1 and L2 Lagrange points, are promising candidates for future lunar gateways in cis-lunar space and as staging orbits for lunar missions. Closed-loop control is beneficial to compensate orbital perturbations and potential instabilities while maintaining spacecraft on NRHOs and performing relative motion maneuvers. This paper investigates the use of nonlinear model predictive control (NMPC) coupled with low-thrust actuators for station-keeping on NRHOs. It is demonstrated through numerical simulations that NMPC is able to stabilize a spacecraft to a reference orbit and handle control constraints. Further, it is shown that the computational burden of NMPC can be managed using specialized optimization routines and suboptimal approaches without jeopardizing closed-loop performance.
