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依据先进机场场面引导与控制系统(A-SMGCS)3阶段路由规划策略,给出1种基于Petri网和遗传算法(GA)的A-SMGCS航空器滑行初始路径规划方法,为航空器确定由最优和s-1个次优滑行路径组成的初始滑行路径集合。提出1种基于模块化建模思想、面向路由规划的场面运行扩展赋时库所Petri网建模方法,并对航空器场面滑行特征进行分析;采用Petri网模型的变迁激发序列进行染色体编码,并考虑场面运行管制规则,分别给出染色体合法性检测与修复、交叉和变异算法。以某机场实际运行数据为基础,采用所给方法为所有进离港航班规划初始滑行路径,通过算法时间性能分析以及为实际航班规划初始滑行路径,验证所给方法的有效性。
Based on the A-SMGCS 3-stage routing planning strategy, this paper presents a method of initial planning of taxiing path for A-SMGCS aircraft based on Petri net and genetic algorithm (GA) s-1 sub-optimal glide path set of initial glide path set. A Petri nets modeling method based on modularization modeling and routing planning is put forward, and the taxiing characteristics of the aircraft scene are analyzed. Chromosomal coding is carried out based on the transition sequence of Petri nets, Scene operation control rules, respectively, given the legitimacy of chromosome detection and repair, crossover and mutation algorithm. Based on the actual operation data of a certain airport, the proposed method is used to plan the initial taxiway path for all incoming and outgoing flights, and the validity of the proposed method is verified by the time performance analysis of the algorithm and the initial taxiway path for actual flight planning.