基于能量优化的无人机机动轨迹生成方法

基于能量优化的无人机机动能够使无人机在不失去决定性位置优势的情况下获取相对于对手的能量优势，足够的能量优势可转换为有效的位置优势，有利于无人机在空战中随时改出当前机动并投入下一机动动作，对于无人机获取空战胜利至关重要。开展了基于能量优化的无人机机动轨迹生成方法研究，通过在无人机机动飞行包线内设计合适的机动指令，使得无人机能量性能指标最优。以上升转弯机动为例进行了机动轨迹生成的详细设计，并与常规上升转弯机动轨迹生成结果进行对比，仿真结果显示所设计的机动动作完成时间缩短了28.6%~83.8%，总能量变化减少了64.7%~70.1%，实现了无人机机动飞行的能量优化。

Energy optimized maneuver trajectory generation for unmanned aerial vehicles

Energy of motion for maneuver flight of unmanned aerial vehicles (UAVs) based on energy optimization enables the UAVs to gain energy superiority without losing decisive position superiority. Adequate energy superiority can be translated into effective position superiority, facilitating the UAVs in changing into other maneuver from current maneuver at any moment, which is crucial for UAVs to win the aerial combat. This paper examines the maneuver trajectory generation methods for UAVs based on energy optimization, designs appropriate maneuver commands in the UAV flight envelope to achieve optimal energy performance, and uses detailed pull-up turn maneuver trajectory commands as an example. In addition, a comparison is made with the classical maneuver trajectory method. Results show that with the designed method, the time consumption of maneuver flight is shortened by 28.6% to 83.8%, and the energy undulate quantity of the UAV is reduced by 64.7% to 70.1%, thereby realizing energy optimization for UAV maneuver flight.