Evasive Maneuvers Against Missiles for Unmanned Combat Aerial Vehicle in Autonomous Air Combat

Authors

Xizhong Yang, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
Jianliang Ai, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;

Abstract

Abstract: For UCAV having the capability to deal with autonomous air combat, the flight dynamics model with the overload input and the 3-dimensional proportional navigation guidance model were established. Based on artificial neural network, an evasive maneuver decision was presented for avoiding incoming missiles. The degrees of freedom for UCAV-missile system were reduced by coordinate transformation, which simplified the complicated model as a non-linear model with relatively small amount of input and a single output. After the neural network samples were generated and trained, evasive results could be directly predicted from the relationship of positions between UCAV and missile through neural network, providing real-time evasive strategies to UCAV. Simulation example was also presented to verify the evasive method’s effectiveness.

Recommended Citation

Yang, Xizhong and Ai, Jianliang (2019) "Evasive Maneuvers Against Missiles for Unmanned Combat Aerial Vehicle in Autonomous Air Combat," Journal of System Simulation: Vol. 30: Iss. 5, Article 43.
DOI: 10.16182/j.issn1004731x.joss.201805043
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss5/43

First Page

1957

Revised Date

2016-11-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201805043

Last Page

1966

CLC

TP.391.9

Recommended Citation

Yang Xizhong, Ai Jianliang. Evasive Maneuvers Against Missiles for Unmanned Combat Aerial Vehicle in Autonomous Air Combat[J]. Journal of System Simulation, 2018, 30(5): 1957-1966.

DOI

10.16182/j.issn1004731x.joss.201805043