Research On Collaborative Attacking Strategy Of Unmanned Aerial Vehicles

With the continuous development of UAV technology, especially the more and more universalapplication of UAVs in the war, multiple-UAV collaborative attacking has become a hot researchtopic, countries have launched a craze study of UAV combating technology. According to theestablishmented attacking model, designing an effective algorithm which can work out the UAV-Target distribution scheme in the shortest time will provide an effective protection for the successof the UAV attack.The multi-UAV cooperative attack strategy is studied from the multi-UAV cooperative aircombat part and the multi-UAV cooperative ground attack together, corresponding models were setup for the two parts, the corresponding optimization algorithms were designed to solve the models，several examples are simulated in matlab to prove the pros and cons of the algorithms, theexamples were also simulated in MAK software for real simulation, in order to observe the actualattack effect of the multi-UAV cooperative attack.For the multiple-UAV collaborative air combat part, the multi-UAV air combat problem isanalyzed, the targets allocation rules are described, according to the operational requirements ofmodern information technology, the UAV combat effectiveness solution is improved, the targetthreat is analysed using the gray system theory of correlation, the integration of Genetic Algorithmwith Particle Swarm Optimization is designed to solve the single wave and multi-wave of themulti-UAV cooperative air combat attacks, several examples are simulated according to the modle,the simulation figures and statistical datas are derived, and corresponding analysis is done to theresults obtained.For the multi-UAV collaborative ground attack part, the ground attack effectivenssis isanalyzed， according to the equipment of UAVs and the firepower of the target points, the tasksuccess rate and the best attack time is analysed, for the overall task completion time to theminimum and collaborative effect to the optimization of the ground attack, the time constraintoptimization model and the effective value of the optimization model are designed respectively, themodels can be solved using the Gravity Searching Algorithm, the algorithm is simulated accordingto different terget distribution， the simulation figures and statistical datas are derived, andcorresponding analysis is done to the datas obtained.