能量状态法的无人机节油轨迹优化

The Trajectory Optimization of Fuel-Optimal Flight of UAV based on Energy-State Control

应用能量状态法研究了高空长航时无人机节油飞行的最优轨迹问题。构建了基于能量状态法的质点运动模型,简化了传统运动模型的维数,并利用变分法提出了基于能量控制的性能指标,推导出飞机纵向飞行过程(爬升、巡航和下降)的优化方程,得到整个飞行过程的全局最优解,给出了一种适用的算法,利用Matlab对该算法进行了计算仿真。仿真结果表明,优化的节油轨迹算法效率较高,可节省飞机燃油、缩短航行时间。

In this paper, the method of energy control is used to discuss a Fuel-Optimal Flight trajectory optimization problem of UAV（unmanned aerial vehicle）. The point-mass motion model based on energy states is founded and simplify the dimension of the traditional point-mass motion model. It adopts the variational method the performance requirement based on energy control is proposed, and the optimal equations of longitudinal flight process are obtained. A suitable arithmetic and the optimizing program are in Matlab. The simulation results show that this method is exact and it can enhance the efficiency, save the fuel, lengthen the cruise time, augment the voyage.