Journal of Astronautics ›› 2019, Vol. 40 ›› Issue (2): 191-198.doi: 10.3873/j.issn.1000-1328.2019.02.008

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A Hybrid Optimization Method of Air to Air Missile Relay Guidance Based on Integrated Superiority

LI Bo, FAN Pan long, LI Qing ying, GAO Xiao guang   

  1. 1.School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China;2.CETC Key Laboratory of Data Link Technology,Xi’an 710068,China; 3. Chinese Flight Test Establishment, Xi’an 710089, China
  • Received:2018-06-12 Revised:2018-07-11 Online:2019-02-15 Published:2019-02-25


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.

Key words: Cooperative air combat, Relay guidance, Guidance superiority, Genetic-article swarm optimization

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