基于指数平均动量鸽群优化的多无人机协同目标防御

This paper proposes a multi-unmanned aerial vehicle (UAV) cooperative target defense method based on exponentially averaged momentum pigeon-inspired optimization (EM-PIO). Firstly, the multi-UAV cooperative target protection system in three-dimensional space is modeled. The surface constraint equation of the UAV-dominated area and the optimal control input of UAVs are obtained. Secondly, in order to address the constrained optimization problem, the multi-level penalty function method is used to generate the objective function of the optimization algorithm. In addition, an EM-PIO algorithm is proposed to solve the optimal point. Comparative experiments with the genetic algorithm (GA) and particle swarm optimization (PSO) are conducted. The simulation results show that the EM-PIO method can solve the multi-UAV cooperative target defense problem more effectively.