临空高超声速飞行器多传感器任务分配算法  

Multi-sensors Mission Distribution Algorithm of Near Space Hypersonic Vehicle

作　　者：孙文[1] 王刚[1] 付强[1] 王晶晶[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《火力与指挥控制》2017年第12期81-87,91,共8页Fire Control & Command Control

基　　金：国家自然科学基金(61272011);国家自然科学青年基金资助项目(61102109)

摘　　要：现有分配机制难以对临空高超声速飞行器进行高效、稳定、实时的探测跟踪任务分配,基于此问题构建了兼有集中式全局统筹和分布式动态反馈特点的混合式任务分配体系框架;建立了基于效能、时间、任务完成率和负载率的多传感器任务分配模型;借鉴合同网的协商签约机制,提出了具有双重定向调整机制的合同量子遗传算法(Contract Net Quantum Genetic Algorithm,CNQGA)。通过仿真验证了模型的合理性、算法的高效稳定性。对未来临空高超声速飞行器探测跟踪体系的构建具有一定的技术指导作用。To achieve the effective,stable,real-time detection tracking mission distribution of near space hypersonic vehicle based on the current distribution mechanism,the mixed mission architecture is established, the overall consideration of concentration and dynamic feedback of distribution are contained. The module is built up based on the efficiency,time,completion rate,load rate. Referring to the negotiation contract mechanism,the contract net quantum genetic algorithm（CNQGA） is proposed with double orient adjust mechanism. The simulation result indicates the reasonability of module and the efficiency of algorithm,which lays a solid technique guidance for designing the detection and tracking system of near space hypersonic vehicle.

关 键 词：临空高超声速飞行器 多传感器任务分配 协商签约 合同量子遗传 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]