论文标题
使用粒子群优化对CR3BP的初始轨道测定
Initial Orbit Determination for the CR3BP using Particle Swarm Optimization
论文作者
论文摘要
这项工作利用粒子群优化器（PSO）来确定圆形限制的三体问题（CR3BP）中的首席和代理场景的初始轨道。 PSO用于最大程度地减少实际和估计的观察结果和对酋长位置的知识之间的差异，以确定代理人的初始状态。通过将粒子的启动位置限制为基于已知的主要位置和传感器约束的可行位置来实现收敛。并行和GPU处理方法用于改善计算时间，并为各种Cislunar轨道几何形状提供准确的初始状态估计。
This work utilizes a particle swarm optimizer (PSO) for initial orbit determination for a chief and deputy scenario in the circular restricted three-body problem (CR3BP). The PSO is used to minimize the difference between actual and estimated observations and knowledge of the chief's position with known CR3BP dynamics to determine the deputy's initial state. Convergence is achieved through limiting particle starting positions to feasible positions based on the known chief position, and sensor constraints. Parallel and GPU processing methods are used to improve computation time and provide an accurate initial state estimate for a variety of cislunar orbit geometries.
