一种综合优势下的空空导弹接力制导混合优化方法
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  • 英文篇名:A Hybrid Optimization Method of Air-to-Air Missile Relay Guidance Based on Integrated Superiority
  • 作者:李波 ; 范盘龙 ; 李卿莹 ; 高晓光
  • 英文作者:LI Bo;FAN Pan-long;LI Qing-ying;GAO Xiao-guang;School of Electronics and Information,Northwestern Polytechnical University;CETC Key Laboratory of Data Link Technology;Chinese Flight Test Establishment;
  • 关键词:协同空战 ; 接力制导 ; 综合制导优势 ; 遗传粒子群混合算法
  • 英文关键词:Cooperative air combat;;Relay guidance;;Guidance superiority;;Genetic-article swarm optimization
  • 中文刊名:YHXB
  • 英文刊名:Journal of Astronautics
  • 机构:西北工业大学电子信息学院;中国电子科技集团公司数据链技术重点实验室;中国飞行试验研究所;
  • 出版日期:2019-02-28
  • 出版单位:宇航学报
  • 年:2019
  • 期:v.40
  • 基金:国家自然科学基金(61573285);; 航空科学基金(2017ZC53021);; 数据链技术重点实验室开放基金(CLDL-20182101);; 中央高校基本科研业务费专项基金(3102016CG002)
  • 语种:中文;
  • 页:YHXB201902009
  • 页数:8
  • CN:02
  • ISSN:11-2053/V
  • 分类号:69-76
摘要
基于综合制导优势函数提出了一种接力制导的遗传粒子群混合优化方法。通过建立飞机对导弹的优势模型、飞机对目标的态势优势模型、敌方飞机对我方飞机的威胁度模型以及作战飞机效能优势模型四个子模型,给出了作战飞机综合制导优势评估模型。结合接力制导约束条件,建立以综合制导优势最大为目标的空空导弹中制导权移交决策模型,并给出了基于遗传粒子群混合算法的空空导弹接力制导优化方法。最后,对八架飞机接力制导四枚空空导弹的情况进行仿真,验证了该模型及算法的有效性和正确性。
        A genetic particle swarm hybrid method for relay guidance is proposed based on the integrated guidance superiority functions. Firstly, an integrated model for evaluating the guidance superiority of the combat aircraft is established by establishing four sub-models: the superiority model of aircraft to missile, the situational superiority model of aircraft to target, the threat model of enemy aircraft to our aircraft, and the efficiency superiority model of combat aircraft. In addition, considering the constraints of relay guidance, we establish a decision-making model for handing over the guidance power of an air-to-air missile with the goal of maximizing the integrated guidance superiority, and the optimization method of the air-to-air missile relay guidance based on the genetic particle swarm hybrid algorithm is given. Finally, we simulate the process of eight aircraft relaying guidance for four air-to-air missiles, and the simulation results verify the validity and correctness of the model and algorithm.
引文
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