Chang Kai, Xia Yuanqing, Huang Kaoli
School of Automation, Mechanical Engineering College, Shijiazhuang, 050003 China.
School of Automation, Beijing Institute of Technology, Beijing, 100081 China.
Springerplus. 2016 Jul 19;5(1):1124. doi: 10.1186/s40064-016-2476-y. eCollection 2016.
This paper considers the artificial potential field method combined with rotational vectors for a general problem of multi-unmanned aerial vehicle (UAV) systems tracking a moving target in dynamic three-dimensional environment. An attractive potential field is generated between the leader and the target. It drives the leader to track the target based on the relative position of them. The other UAVs in the formation are controlled to follow the leader by the attractive control force. The repulsive force affects among the UAVs to avoid collisions and distribute the UAVs evenly on the spherical surface whose center is the leader-UAV. Specific orders or positions of the UAVs are not required. The trajectories of avoidance obstacle can be obtained through two kinds of potential field with rotation vectors. Every UAV can choose the optimal trajectory to avoid the obstacle and reconfigure the formation after passing the obstacle. Simulations study on UAV are presented to demonstrate the effectiveness of proposed method.
本文考虑了结合旋转向量的人工势场法,用于解决多无人机系统在动态三维环境中跟踪移动目标的一般问题。在领导者无人机和目标之间生成一个吸引势场。它根据两者的相对位置驱动领导者无人机跟踪目标。编队中的其他无人机通过吸引控制力被控制来跟随领导者无人机。排斥力在无人机之间起作用,以避免碰撞并使无人机均匀分布在以领导者无人机为中心的球面上。不需要无人机的特定顺序或位置。通过两种带有旋转向量的势场可以获得避障轨迹。每架无人机都可以选择最优轨迹来避开障碍物,并在通过障碍物后重新配置编队。给出了无人机的仿真研究,以证明所提方法的有效性。