基于ADS-B IN的多机冲突解脱及路径规划

Research on Multi-machine Conflict Resolution and Route Planning Based on ADS-B IN

行冲突解脱是空中交通管理中一个关键问题。分析了机载TCAS的冲突探测原理和ADS-B IN技术的特点,考虑飞行动力学、气象、人为因素等多种随机因素,建立了概率型冲突预测和解脱模型。针对同一空域内所有目标机进行跟踪和分类,将冲突区域网格化,利用改进遗传算法快速搜寻最优无冲突航迹,最大程度地减少偏离原航线的距离,并最终引导飞机回到既定航线,提高飞行效率和安全。通过仿真计算验证了模型和算法的有效性,在采用定步长航向调整策略结合速度调整策略效果显著,在航空防撞设备中具有很好的应用前景。

Flight conflict resolution is a key problem in air traffic management. This paper analyzes the conflict detection principle of TCAS and the characteristics of ads-bin technology,and establishes a probabilistic conflict prediction and resolution model based on flight dynamics,meteorology,human factors and other random factors. In this paper,all target aircraft in the same airspace are tracked and classified,the conflict area is gridded,and an improved genetic algorithm is used to quickly search the optimal conflict free flight path,so as to minimize the distance from the original route,and finally guide the aircraft to return to the established route,so as to improve the flight efficiency and safety. The effectiveness of the model and algorithm is verified by simulation calculation. The effect of fixed step heading adjustment strategy combined with speed adjustment strategy is remarkable. The research in this paper has a good development prospect in air traffic anti-collision system.