高空长航时无人机航迹优化研究

Research on Optimal Trajectories of the HALE UAV

主要探讨了高空长航时无人机的最省油的爬升-巡航航迹。采用改进了的遗传算法,求解了无人机从起飞到达目标区的最优航迹,并与传统的飞行方式作了比较。结果表明,采用改进了的遗传算法得到的航迹可以有效地减少无人机的耗油量,具有明显的经济、军事意义。

The main po of this thesis is to obtain the optimal climb-cruise trajectory of a high altitude long endurance UAV. Genetic algorithm is applied to determine the optimal trajectories from take-off to war zone, then contrast it with the classical trajectory. The results show that the optimal trajectory derived from GA can reduce the fuel consumption efficiently, and have distinct economic and military values.