Research On Multi Missile Cooperative Track Planning Of Intelligent Ammunition

With the development of intelligence and informatization in modern war,traditional ammunition can no longer meet the requirements of accuracy and intelligence in modern war.Therefore,intelligent ammunition has gradually become the backbone in modern battlefields.It not only realizes high attack accuracy with low manufacturing costs,but also supports weapons to independently identify/attack targets,It is a powerful means to attack the enemy’s important targets.It is a work of great practical value to further improve the attack accuracy of intelligent ammunition by path planning.At the same time,due to the transformation of battlefield combat objects from single target to multi-target,and the transformation of ammunition combat mode from unit combat to multi missile cooperative combat,this thesis studies the cooperative attack path planning for intelligent ammunition on the basis of preset battlefield information,carry out the most effective task allocation for multiple targets in the battlefield,and plan the optimal attack route of ammunition,so as to achieve accurate attack,improve the fault tolerance and error correction ability of ammunition,and provide technical reserves for the subsequent development and transformation of intelligent ammunition.The main research contents are as follows:Firstly,according to the research purpose of the article,the battlefield target and combat unit are preset,and the relevant parameters are given.According to the preset situation information such as the missile target correlation position relationship and the performance of the combat unit,the combined weighting method of subjective and objective is used to evaluate the threat coefficient of the target and the combat effectiveness of the ammunition.At the same time,it is analogous to the discrete optimization problem,particle swarm optimization algorithm is used to search for the target assignment scheme that maximizes the system’s operational effectiveness.To direct at the disadvantage that particle swarm optimization algorithm is easy to fall into local optimization,simulated annealing algorithm is introduced to improve it.Secondly,after defining the ammunition attack task allocation,the ant colony algorithm is used to design the optimal track planning scheme,and in view of the traditional ant colony algorithm to path planning optimization in the preliminary search of blindness is higher,slow convergence speed and easy falling into the most superior,put forward a targeted improved ant colony algorithm,adaptive ant colony algorithm of obstacle avoidance.The state transition probability,pheromone volatilization factor and search strategy of ant colony algorithm are improved to improve the convergence speed and global optimization performance of the algorithm,and the improved algorithm is verified in a two-dimensional environment.Finally,based on the obtained optimal allocation scheme,determine the ammunition flight constraints and cooperative constraints,design the multi missile cooperative attack track process,and conduct simulation experiments in the three-dimensional simulated combat environment to plan the cooperative attack track with the highest combat efficiency of the system,and verify the feasibility of the design scheme.The simulation experiment test proves that the overall research scheme is feasible,and it can obtain the target allocation result with the highest operational efficiency and the optimal attack track of the system,and realize the efficient and accurate attack of intelligent ammunition.It can be used as the technical reserve for the future development of smart ammunition,and has certain practical significance and research value.