Bechlioulis Charalampos P, Giagkas Fotis, Karras George C, Kyriakopoulos Kostas J
School of Mechanical Engineering, National Technical University of Athens, Athens, Greece.
University of Thessaly, Lamia, Greece.
Front Robot AI. 2019 Sep 24;6:90. doi: 10.3389/frobt.2019.00090. eCollection 2019.
This paper addresses the distance-based formation control problem for multiple Autonomous Underwater Vehicles (AUVs) in a leader-follower architecture. The leading AUV is assigned a task to track a desired trajectory and the following AUVs try to set up a predefined formation structure by attaining specific distances among their neighboring AUVs, while avoiding collisions and enabling at the same time relative localization. More specifically, a decentralized control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment. The control signal of each vehicle is calculated based on the relative position of its neighbors and its own velocity only, which can be easily acquired by the onboard sensors without necessitating for explicit network communication. Finally, a realistic simulation study with five AUVs performing seabed scanning was conducted to clarify the approach and verify the theoretical findings of this work.
本文研究了基于领导者-跟随者架构的多自主水下航行器(AUV)的基于距离的编队控制问题。主导AUV被分配跟踪期望轨迹的任务,跟随的AUV则试图通过在相邻AUV之间达到特定距离来建立预定义的编队结构,同时避免碰撞并实现相对定位。更具体地说,提出了一种复杂度最低的分散控制协议,该协议可实现规定的、任意快速且准确的编队建立。每艘航行器的控制信号仅基于其邻居的相对位置和自身速度来计算,这可以通过机载传感器轻松获取,而无需明确的网络通信。最后,进行了一项由五艘AUV进行海底扫描的实际仿真研究,以阐明该方法并验证本文的理论结果。