一种基于启发式搜索的智能轨道规划

针对二体轨道模型,设计了一种时间固定点对点多冲量轨道机动的智能规划算法。算法基于非线性规划理论和启发式智能搜索技术,采用随机A*扩展树法保证优化的全局性,并利用逐步二次规划法(SQP)来保证结果的局部数值精确性。整个算法具有较好的智能自主性。最后通过数值仿真验证了算法的可行性。

An Intelligent Orbit-planning Based on Heuristic Search

A new intelligent planning algorithm which is used for fixed-time,point-to-point,multi-impulse orbital maneuver in the two-body problem is proposed in this paper.Based on the nonlinear programming theory and the heuristic intelligent search technique,the novel algorithm uses the Randomized A* Tress Expansion method to guarantee the global optimization,and the Sequential Quadratic Programming method to achieve the local numerical accuracy of results.The planning algorithm shows a better performance of on-orbit intelligent autonomy.The numerical simulation results have verified the effectiveness of the proposed method.