空中多飞行器飞行轨迹优化数值仿真

针对空中多飞行器在复杂环境中飞行轨迹的多目标最优问题，分析了多飞行器飞行过程中各种可视和不可视约束条件。基于在回避威胁区前提下燃料消耗最少、飞行时间最短的综合性能指标，采用“多方法组合”思路，提出了改进动态规划法和多点边值法组合算法，并进行了仿真验证，大量C＋＋数值飞行仿真结果表明该算法能够在考虑外界复杂环境和飞行器各种约束条件下快速规划出空中多飞行器的最优飞行轨迹，该组合算法具有一定的实用性和创新性。

Numerical Simulation of Trajectory Optimization for Multiple Aircraft

This paper in view of the air vehicle flight path in the complex environment of multi?objective optimal problem an?alyzes more aircraft flying in the process of all kinds of visible and invisible constraints conditions. Based on evade the threat?ened area provides fuel consumption at least, the flight time shortest comprehensive performance indicators, a"multi?method combination" idea, an improved dynamic programming method and multi?point boundary value method combining algorithm, and the simulation results, a lot of value flight simulation results show that the algorithm can consider the external environ?ment and the complex aircraft under various constraints to quickly map out the air more optimal flight path of the aircraft, the combining algorithm has a certain practicality and innovation.