基于混合算法的巡飞无人机轨迹优化策略

Trajectory Optimization Strategy for Loitering UAVs Based on Hybrid Algorithm

提出大型空中侦察无人机作为控制中继来控制陆基发射的巡飞无人机作战模式。以多脉冲固体火箭发动机为动力的巡飞无人机的航程末端速度大,可以有效提升无人机的战场生存能力;为使巡飞无人机末速最大,有效提高巡飞无人机飞行轨迹优化求解的鲁棒性和精度,提出了遗传算法与高斯伪谱法相嵌套的混合优化方法。同时与单脉冲推力模式的无人机进行了对比仿真,验证了该混合优化算法的实用性和有效性。

The combat mode of using an aerial reconnaissance UAV as a control relay to control loitering UAV launched from land-base is proposed.The speed of end of voyage of loitering UAVs powered by a multi-pulse solid rocket engine is high,which can effectively improve the battlefield survivability of the UAV.In order to maximize the terminal speed of the loitering UAV and effectively improve the robustness and accuracy of the flight trajectory optimization problem of the loitering UAV,a hybrid optimization method based on the embedded genetic algorithm and Gaussian pseudo-spectrum algorithm is proposed.The simulation and comparison with the UAV of single-pulse thrust mode are conducted,the simulation results verify the practicability and effectiveness of a hybrid optimization method.