跳跃式再入快速预报校正制导算法研究

针对深空探测跳跃式再入返回飞行任务，提出了一种加速的数值预报校正制导算法，该算法通过在预报过程中对开普勒飞行段进行解析轨道预报，以此提高制导算法的预报和迭代校正速度。考虑到忽略大气影响的解析轨道预报精度问题，加速算法选择了合适的解析预报激活高度，并在一次下降段和一次上升段分别采用加速制导算法和传统预报校正制导算法的分段混合策略，从而实现制导效率与制导精度的综合性能最优。最后，通过蒙特卡洛仿真试验证明了新算法的加速效果非常明显，有利于预报校正算法的在线应用。

Research on Fast Predictor-corrector Guidance Algorithm for Skip Reentry

An accelerated numerical predictor-corrector （NPC） guidance algorithm is proposed for skip reentry mission of deep space exploration. The algorithm improves the prediction and correction efficiency through employing analytical orbit prediction in the kepler flight phase. By taking the low precision of an- alytical prediction because of ignoring influence of atmosphere into consideration, the presented algorithm selects a suitable activation altitude for analytical prediction. And then, the algorithm adopts a piece-wise mixed guidance strategy that the accelerated NPC algorithm is applied in the first descending phase and the conventional NPC is introduced in the first ascending phase in order to balance the performance of ef- ficiency and accuracy. Monte-Carlo numerical experiments demonstrate that acceleration effect is signifi- cant, and this accelerated NPC is more suitable for on-line application.