Supervisor:
Southwest Ordnance Industry Bureau
Organizer:
Chongqing Ordnance Industry Society
Chongqing University of Technology
Chongqing University of Technology
The multi UAV cooperative air combat task planning simulation system
| DOI: | 10.11809/bqzbgcxb2023.09.001 |
| Keywords: | VR Forces; multi UAV cooperative air combat; task planning; algorithm library; reinforcement learning algorithm training; human computer interaction |
| Abstract: | To verify the performance of multi UAV cooperative air combat task planning method, a multi UAV cooperative air combat task planning simulation system based on the VR Forces simulation engine is developed in this paper. The architecture, red side subsystem, blue side subsystem, white side subsystem, and reinforcement learning algorithm training subsystem of the simulation system are designed. To improve the stability, scalability, and functionality of the simulation system, key technologies such as algorithm library, reinforcement learning algorithm training, and human computer interaction are proposed. On this basis, the simulation system is developed. Finally, the developed simulation system is used to test and verify the typical task planning methods, such as multi UAV cooperative air combat target allocation and the redecision algorithm. The results show that the developed simulation system can support the testing and verification of the multi UAV cooperative air combat task planning method. |
| Published: | 2023-09-28 |
| PDF HTML | |