In view of the fact that a single interception method can not meet the needs of low slow small target prevention and control under different scenarios and environmental constraints,combined with the effectiveness and constraints of interception equipment,a composite interception task planning method based on particle swarm optimization algorithm is proposed.In order to reduce the mapping space of mission planning and improve the iterative speed of the algorithm,the coding method based on Interception effectiveness feasible region is adopted.And in order to control the search process of the algorithm,the shrinking and expanding motion of the particle swarm is changed by the concentration allowed value to enhance the coverage area.Taking learning factor,population size and inertia weight as main parameters,the task planning method is simulated and analyzed.The simulation results show that the improved algorithm can match the general optimization ability and convergence speed,and has good time performance while obtaining feasible solutions.This method can provide a theoretical reference for improving the efficiency of compound interception mission planning.

Aiming at the short-time,high dynamic and nonlinear characteristics of the flexible networking in the process of intercepting unmanned aerial vehicle (UAV) target by joint nets,the mechanical model of flexible net and the dynamic model of air joint networking are established.Combined with the constraints that need to be considered in the process of intercepting target,the evaluation indexes for the performance of the networking acquisition method are proposed.The multi-objective optimization algorithm based on decomposition is used to optimize the launch parameters of the joint combination of multi flexible nets.The optimal configuration parameters of two flexible nets joint launch,three flexible nets joint launch and four flexible nets joint launch are obtained through simulation test.The results show that the algorithm is reasonable and effective.It can provide a theoretical reference for the design of key parameters of flexible nets in air joint networking.