一种基于进化计算的空间飞行器编队重构轨道规划方法

Trajectory Planning for Spacecraft Formation Based on Evolutionary Computation

基于进化算法提出了一种两层结构的空间飞行器编队重构的轨道规划算法,高层算法通过优化构型映射来优化编队的总燃耗,实现全局规划并确保飞行器之间保持一定的安全距离以避免相互碰撞;低层规划算法采用Chebyshev多项式逼近控制变量空间,为每颗飞行器规划满足约束条件的最优轨道。该方法充分利用了编队的分布式结构,由各飞行器并行实现各自的轨道规划,能有效解决大型编队的轨道规划问题。仿真结果表明了该方法的有效性。

Based on evolutionary computation, a tow-level trajectory planning algorithm for spacecraft formation reconfiguration was presented in this paper. The high-level planner performs global planning, optimizes total fuel consumption by selecting an optimal configuration mapping, and ensures collision avoidance constraints being satisfied. Fuel optimal or near optimal trajectories planning for each spacecraft are performed by the low-level planners in parallel by parameterizing the control in terms of Chebyshev polynomials. The distributed architecture of formation is fully used and the algorithm scales well with the number of spacecraft. The implementation and experiment described in this paper demonstrated the efficiency of the algorithm.