Parameters optimization of multi-UAV formation control method based on artificial physics
Yu Fu, Xiangke Wang, Huayong Zhu, Yangguang Yu · 2016
In this paper we focus on the optimization of the artificial physics based formation control algorithm, for the multiple Unmanned Aerial Vehicles(UAVs) formation control. It is known that time optimization is very important in many applications of the formation related problems. Therefore, in this paper, an optimization method using genetic algorithm is proposed to tune the parameters automatically for the formation control algorithm based on the artificial physics, in order to optimize the formation forming process and improve the time performance of the proposed formation control method. The simulation results demonstrate the feasibility and effectiveness of the proposed method in solving the optimal formation control problem for multiple UAVs.