
[ Article ]
Journal of the KNST - Vol. 8, No. 3, pp.503-509
ISSN: 2635-4926
(Print)
Print publication date 30 Sep 2025
Received 26 Aug 2025
Revised 03 Sep 2025
Accepted 29 Sep 2025
위협 예측 기반 적 항공기 회피기동 시뮬레이션 및 내장형 훈련모드 개발 연구
Research on Threat Prediction-based Evasive Maneuver Simulation for Enemy Aircraft and Embedded Training Mode Development
Correspondence to: *Sejun Lee Center of Engagement Control System for Anti-air Weapons, LIG Nex1 333 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13488, Republic of Korea Tel: +82-31-5179-4996 Fax: +82-31-5179-7088 E-mail: sejun.lee@lignex1.com
Ⓒ 2025 Korea Society for Naval Science & Technology
초록
본 논문은 군용 전술기의 내장형 훈련모드에 활용할 수 있는 시나리오 생성 및 분석 기법을 제안한다. 운용자가 입력한 적 항공기의 경유점 정보를 기반으로, 통제소는 충돌 가능성이 높은 위험 구역을 예측하고, 해당 지점을 회피하고 아군의 요격 확률을 낮추는 방향으로 적 항공기의 회피 경로를 실시간으로 스무딩한다. 시뮬레이션을 통해 제안 기법의 효과성을 검증하였으며, 본 기법은 훈련 상황에서 전술적 다양성을 제공하며, 운용자의 대응 능력 향상에 기여할 것으로 기대된다.
Abstract
This paper proposes a scenario generation and analysis for embedded training systems involving tactical aircraft. Based on defined waypoints for enemy aircraft, the control center predicts potential threat zones and a path smoothing algorithm adjusts enemy evasive maneuvers in real-time for reducing the interception probability. The proposed method is evaluated by simulation and enhances operator decision-making and adaptability.
Keywords:
Engagement, Waypoint, Covariant Hamiltonian Optimization for Motion Planning, Embedded Training Mode, Performance Analysis키워드:
교전, 경유점, CHOMP, 내장형 훈련모드, 성능 분석References
-
T. Zhang, Y. Dong and H. Li, “Trajectory Generation Based on Bezier Curve and Its Application to Cooperative Transportation,” Journal of Systems Science and Complexity, Vol. 38, No. 4, pp. 1499-1523, Jul, 2025.
[https://doi.org/10.1007/s11424-025-4086-7]
-
Z. Turkkol, N. Altuntas and S. C. Yavuz, “A Smooth Global Path Planning Method for Unmanned Surface Vehicles Using a Novel Combination of Rapidly Exploring Random Tree and Bezier Curves,” MDPI Sensors, Vol. 24, No. 24, pp. 1-7, Dec, 2024.
[https://doi.org/10.3390/s24248145]
-
N. Ratliff, M. Zucker, J. A. Bagnell and S. Srinivasa, “CHOMP: Gradient Optimization Techniques for Efficient Motion Planning,” IEEE International Conference on Robotics and Automation, pp. 489-454, May, 2009.
[https://doi.org/10.1109/ROBOT.2009.5152817]
-
Richard. A and How. J. P, “Aircraft Trajectory Planning with Collision Avoidance Using Mixed Integer Linear Programming,” Proceedings of the American Control Conference, pp. 1936-1941, May, 2022.
[https://doi.org/10.1109/ACC.2002.1023918]
-
X. Bai, H. Jiang, J. Cui and K. Lu, “UAV Path Planning Based on A* and DWA Algorithms,” International Journal of Aerospace Engineering, pp. 1-12, Sep, 2021.
[https://doi.org/10.1155/2021/4511252]
-
J. Huang, P. Wu, X. Li and Y. Liu, “A 3D Multipath Planning Method for Guided Vehicles using Improved A* Algorithm Based on Multiple Avoidance Tactics and Terminal Attack Angles,” International Journal of Aerospace Engineering, pp. 1-44, May, 2025.
[https://doi.org/10.1155/ijae/9944699]
-
M. Tan, H. Sun, D. Ding, H. Zhou, T. Han and Y. Luo, “Hierarchical Online Air Combat Maneuver Decision Making and Control Based on Surrogate-Assisted Differential Evolution Algorithm,” MDPI Drones, Vol. 9, No. 2, pp.1-8, Jan, 2025.
[https://doi.org/10.3390/drones9020106]