Research On Optimization Of Track Planning Algorithm For Loitering Munition

The intelligent algorithms,virtual reality and other technologies have been integrated into modern warfare with the rapid development of military technology in the new era.Smart ammunition represented by loitering munitions is a combination of intelligent ammunition technology and drone technology.In combat missions,flight path planning is particularly important.Taking into account the constraints of the loitering munition’s own performance,battlefield threats,combat mission requirements,etc.,it is particularly important to plan a flight trajectory that ensures that the loitering munition can safely avoid obstacles and reach the destination for combat missions.This paper studies the key technical issues in the trajectory planning and intelligent algorithm of loitering munitions.According on the trajectory planning algorithm,design a loitering munition trajectory and combat mission scenario,combined with the analysis of the battlefield environment,a space model construction method based on 3D digital terrain is given,then construct an equivalent space model for the threat target during the flight of the loitering munition,provide an environmental basis for trajectory planning,and achieve tactical requirements such as avoiding enemy threats and performing combat missions.Respectively improve key technical issues such as cross mutation probability in genetic algorithm and the probability of pheromone update and state transition in ant colony algorithm,a trajectory planning algorithm is proposed to realize the obstacle avoidance patrol of the combat area with fixed-point threat targets by the loitering munition,simulate and analyze the patrol process of the patrol missile in the established environment to verify the feasibility of the improved algorithm.Discussed the feasibility of the trajectory optimization cruise strategy generated by the improved algorithm,analyzed the influence of the two different algorithm parameters on the trajectory planning under the problem model,and got the final conclusion: the improved algorithm can effectively improve the time of patrol flight trajectory calculation and the obstacle avoidance trajectory of threat targets.With the help of MATLAB software,the trajectory planning algorithm of the loitering munition is simulated in different environments,and different optimization algorithms are compared to obtain an optimal path to verify the feasibility of the loitering munition to patrol the path.Based on the above research results,the planned path can provide a technical reference for future loitering munition trajectory planning.