Design and Implementation of Parallel Simulation System for UAV Swarms

Unmanned aerial vehicles (UAV) swarm is an organic whole formed by a certain number of drones cooperating with each other. It has more advanced and diversified functions and can complete more comprehensive and complex tasks. UAV swarms currently are faced many problems such as low intelligence, rough cooperative control algorithms, and inaccurate behavior prediction. Simulation modeling plays an important role in the research of these critical technologies. Traditional simulation modeling has serious simulation error accumulation and data lag. We propose the design of parallel simulation system for UAV swarms. We complete the related work of dynamic generation of simulation entities, state synchronization between simulation entities and UAVs, and ultra-real-time simulation. Through the performance test, the experimental results prove that UAV swarm parallel simulation system (UAVSPSS) has the ability to dynamically generate the simulation entity in a short time and complete the state synchronization of the simulation entity in a limited time. These results show that the UAV swarms parallel simulation system provides stability of simulation errors and real-time synchronization of data.