Center for Research and Advanced Studies, CINVESTAV-IPN. Electrical Engineering Department, Mechatronics Section, Mexico, Mexico.
On sabbatical leave at Eindhoven University of Technology TU/e, Mechanical Engineering Department, Dynamics and Control Group, Eindhoven, The Netherlands.
PLoS One. 2024 Jan 29;19(1):e0297061. doi: 10.1371/journal.pone.0297061. eCollection 2024.
A chain formation strategy based on mobile frames for a set of n differential drive mobile robots is presented. Considering two consecutive robots in the formation, robots Ri and Ri+1. It is intended that robot Ri+1 follows the delayed trajectory, τ units of time, of the leader robot Ri. In this way, the follower robot Ri+1 becomes the leader robot for robot Ri+ 2 in the formation and so on. With this formation policy, the trailing distance between two consecutive robots varies accordingly to the velocity of the Ri leader robot. Mobile frames are located on the body of the vehicles, in such a way that the position of robot Ri is determined with respect to the frame located on Ri+1 robot. The strategy relies on the fact that the general leader robot R1 describes any trajectory generated by bounded linear v1(t) and angular ω1(t) velocities. For the remaining vehicles in the string, the strategy considers a desired trajectory for the follower robot Ri+1 obtained by an estimation of the delayed trajectory of the leader robot Ri. This desired estimated trajectory is obtained under the knowledge of the actual and past input velocities of the Ri robot. To formally prove the convergence of the formation strategy, the equations describing the time variation of the relative posture between any pair of consecutive vehicles in the formation are obtained, and a feedback law based on local measurements is proposed to get the convergence of robot Ri+1 to the delayed trajectory, τ units of time, of the trajectory previously described by robot Ri. Lyapunov techniques are considered for this fact. The effectiveness of the chain formation solution is evaluated by means of numerical simulations and real time experiments showing an adequate convergence.
提出了一种基于移动框架的 n 个差动驱动移动机器人的链式编队策略。考虑编队中的两个连续机器人 Ri 和 Ri+1。意图是让机器人 Ri+1 跟随领导者机器人 Ri 的延迟轨迹 τ 个时间单位。这样,跟随机器人 Ri+1 就成为了编队中 Ri+2 机器人的领导者,依此类推。通过这种编队策略,两个连续机器人之间的尾随距离会根据 Ri 领导者机器人的速度而相应变化。移动框架位于车辆的主体上,使得机器人 Ri 的位置相对于位于 Ri+1 机器人上的框架来确定。该策略依赖于这样一个事实,即一般领导者机器人 R1 描述了由有界线性 v1(t)和角ω1(t)速度生成的任何轨迹。对于字符串中的其余车辆,该策略考虑了跟随机器人 Ri+1 的期望轨迹,该轨迹是通过对领导者机器人 Ri 的延迟轨迹进行估计得到的。这个期望的估计轨迹是在 Ri 机器人的实际和过去输入速度的知识下得到的。为了正式证明编队策略的收敛性,获得了描述编队中任何一对连续车辆之间相对姿态随时间变化的方程,并提出了一种基于局部测量的反馈律,以实现机器人 Ri+1 到之前由机器人 Ri 描述的延迟轨迹 τ 个时间单位的收敛。考虑了 Lyapunov 技术来证明这一事实。通过数值模拟和实时实验评估了链式编队解决方案的有效性,结果表明收敛性良好。