基于SMILO-VTAC模型的复杂低空多机冲突解脱方法

针对传统SMILO-VTAC模型的2种不受控情形, 提出了面向不受控情形的复杂低空多机冲突解脱模型; 在传统SMILO-VTAC模型的基础上, 考虑复杂低空空域物障限制条件, 提出了面向物障情景的低空多机冲突探测与解脱模型; 结合通用航空活动任务优先等级, 建立了基于任务优先性质的多机冲突探测与解脱规则和流程; 建立了多航空器对头汇聚场景, 基于提出的方法进行仿真验证。分析结果表明: 相比传统SMILO-VTAC模型, 提出的方法能够满足不受控情形的多机冲突探测与解脱实际需要, 并能根据任务优先等级计算方案, 解脱成本分配合理, 符合复杂低空空域航空器的特点; 提出的方法在航空器数量不大于4架次时, 求解时间略长, 但基本控制在1 s以内; 当航空器数量大于4架次时, 求解时间小于传统SMILO-VTAC模型; 当航空器数量不小于7架次时, 求解时间远低于传统SMILO-VTAC模型; 在将优先级因素加入考量后, 方法的平均解脱成本较传统SMILO-VTAC模型增加了10%~20%, 以少量增加平均解脱成本为代价, 实现了解脱成本依照优先级顺序的分配, 将高优先级航空器解脱成本向低优先级航空器传递。可见, 在多航空器运行和多优先级情景下, 改进方法具有更高的解脱效率, 在相同计算时间内具有更高的解脱架次极限。 

SMILO-VTAC model based multi-aircraft conflict resolution method in complex low-altitude airspace

Aiming at the two uncontrolled cases of traditional sequential mixed integer linear optimization-velocity change, turn change and altitude change(SMILO-VTAC) model, a new multi-aircraft conflict resolution model in complex low-altitude airspace under uncontrolled cases was proposed. Considering the constraints of terrain obstacles in complex low-altitude airspace, a low-altitude multi-aircraft conflict detection and resolution model for the obstacle-oriented scenarios was proposed based on the traditional SMILO-VTAC model. Combined with the priority of general aviation tasks, the rules and procedures of multi-aircraft conflict detection and resolution were established based on the task priority. A multi-aircraft head-to-head convergence scenario was established. Simulation and verification were performed based on the proposed method. Analysis result shows that compared with the traditional SMILO-VTAC model, the proposed method can meet the actual needs of multi-aircraft conflict detection and resolution in uncontrolled cases, and resolve the schemes based on task priority. The resolution cost allocation is reasonable, and the method is more suitable for the characteristics of aircrafts in complex low-altitude airspace. The solution time of the proposed method is slightly longer when the number of aircrafts is no more than 4, but it is basically controlled within 1 s. When the number of aircrafts is more than 4, the solution time of the proposed method is generally less than that of the traditional SMILO-VTAC model. When the number of aircrafts is no less than 7, the solution time of the proposed method is much lower than that of the traditional SMILO-VTAC model. Considering the priority factors, the average resolution cost of new method is 10%-20% higher than that of the traditional SMILO-VTAC model. Along with the small increase in the average resolution cost, the resolution cost is allocated in order of priority. The resolution cost of high-priority aircraft is passed to low-priority aircraft. Obviously, the improved method has higher resolution efficiency in multi-aircraft operation and multi-priority scenario, and has a higher limit of resolution amount in the same calculation time.