一种组合飞行器冲突解脱算法

Study on Resolution of Flight Conflicts Based on Combination Algorithm

分析了传统势场法存在的问题。针对传统势场法应用中存在的缺陷,引入蚁群算法,将两者结合进行解脱航迹的优化。研究表明:两者结合不仅克服了势场法的很多缺点,同时弥补了蚁群算法收敛性缓慢以及容易出现停滞现象等缺陷,具有更快发现较好解的能力。

Due to the huge demand of modem society on the transportation industry, especially air transportation demand, how to keep civil aircraft in the complex conflict environment safe and efficient is under more attention. The potential field method was the simplest and most effective method cur- rently used for aircraft conflict resolution research, but there are some flaws in the process of imple- menting. Considering the introduction of the ACA, a preliminary study showed that the combination of the two not only solves some of the shortcomings of the potential field method, but also makes up for the convergence of ant colony algorithm that is slow and prone to stagnation, with the ability to find better solutions faster.