Research on Autonomous Intercept Method for UCAV Based on Lead Attack Aiming

Authors

Huaxing Wu, 1. Marine College, NWPU, Xi’an 710072, China;;2. Aeronautics & Astronautics Engineering Institute of AFEU, Xi’an 710038, China;;
Huang Wei, 2. Aeronautics & Astronautics Engineering Institute of AFEU, Xi’an 710038, China;;
Fengju Kang, 1. Marine College, NWPU, Xi’an 710072, China;;
Hongbao Mao, 2. Aeronautics & Astronautics Engineering Institute of AFEU, Xi’an 710038, China;;

Abstract

Abstract: For the problem of autonomous intercepting moving target with air-to-air missiles for an unmanned combat air vehicle, autonomous guiding method based on lead attack aiming errors was studied. The aiming errors were computed by building the motion model of UCAV and the model of lead attack aiming. Then to meet the goal of decreasing the aiming errors during flight control, two maneuver strategies based on model predictive control approach were presented: one used proportional navigation method and the other employed simulated annealing particle swarm optimization algorithm. The simulation result shows that both strategies can implement autonomous intercept for targets with various maneuvers and the later method is better than the former if given the condition of periodic absence of target parameters.

Recommended Citation

Wu, Huaxing; Wei, Huang; Kang, Fengju; and Mao, Hongbao (2020) "Research on Autonomous Intercept Method for UCAV Based on Lead Attack Aiming," Journal of System Simulation: Vol. 28: Iss. 9, Article 46.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss9/46

First Page

2246

Revised Date

2015-07-24

DOI Link

https://doi.org/

Last Page

2253

CLC

V279

Recommended Citation

Wu Huaxing, Huang Wei, Kang Fengju, Mao Hongbao. Research on Autonomous Intercept Method for UCAV Based on Lead Attack Aiming[J]. Journal of System Simulation, 2016, 28(9): 2246-2253.