TY - GEN
T1 - Design of Red-Blue Confrontation Module for UAV Swarm Simulation System
AU - Bai, Zehao
AU - Yang, Dongxiao
AU - Li, Juan
AU - Liu, Chang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - The existing UAV (Unmanned Aerial Vehicle) swarm simulation system can provide a real, safe and controllable virtual environment to simulate various UAV swarm flight scenarios. At present, these UAV swarm simulation systems lack the red-blue confrontation module with high fidelity, so the red-blue confrontation module is designed and added to the simulation system. The module can simulate the red-blue confrontation of UAV swarm, and provide API (Application Programming Interface) that can access external algorithm to control the equipments in the simulation system, so that the module can verify the effectiveness of the external control algorithm. Through red-blue confrontation experiments, both the red-blue confrontation module’s performance and the effectiveness of algorithm integration via API were empirically validated. Additionally, the node load capacity of this module has been tested, all of which can support the normal simulation requirements. The red-blue confrontation module provides support for the tactical, strategic, and decision-making capabilities of UAV swarm, and facilitates the improvement of operational efficiency in UAV swarm warfare. It assists in enhancing the reliability of UAV swarm control algorithms and serves as a powerful tool for research and practical applications in the field of red-blue confrontation simulations.
AB - The existing UAV (Unmanned Aerial Vehicle) swarm simulation system can provide a real, safe and controllable virtual environment to simulate various UAV swarm flight scenarios. At present, these UAV swarm simulation systems lack the red-blue confrontation module with high fidelity, so the red-blue confrontation module is designed and added to the simulation system. The module can simulate the red-blue confrontation of UAV swarm, and provide API (Application Programming Interface) that can access external algorithm to control the equipments in the simulation system, so that the module can verify the effectiveness of the external control algorithm. Through red-blue confrontation experiments, both the red-blue confrontation module’s performance and the effectiveness of algorithm integration via API were empirically validated. Additionally, the node load capacity of this module has been tested, all of which can support the normal simulation requirements. The red-blue confrontation module provides support for the tactical, strategic, and decision-making capabilities of UAV swarm, and facilitates the improvement of operational efficiency in UAV swarm warfare. It assists in enhancing the reliability of UAV swarm control algorithms and serves as a powerful tool for research and practical applications in the field of red-blue confrontation simulations.
KW - Red-blue Confrontation
KW - Simulation System
KW - UAV Swarm
UR - http://www.scopus.com/inward/record.url?scp=85199414077&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-3336-1_53
DO - 10.1007/978-981-97-3336-1_53
M3 - Conference contribution
AN - SCOPUS:85199414077
SN - 9789819733354
T3 - Lecture Notes in Electrical Engineering
SP - 620
EP - 633
BT - Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies
A2 - Li, Xiaoduo
A2 - Song, Xun
A2 - Zhou, Yingjiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
Y2 - 24 November 2023 through 27 November 2023
ER -