Formation Control of Nonholonomic Multirobot Systems Over Robot Coordinate Frames and Its Application to LiDAR-Based Robots

IF 4.9 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Control Systems Technology Pub Date : 2024-03-16 DOI:10.1109/TCST.2024.3397018
Kazunori Sakurama;Chunlai Peng;Ryo Asai;Hirokazu Sakata;Mitsuhiro Yamazumi
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Abstract

This article addresses a formation control problem for nonholonomic multirobot systems in robot coordinate frames. First, the nonholonomic constraint and measurement in robot coordinate frames are modeled with the Lie group theory on the special Euclidean group, ${\mathrm {SE}}_{d}$ . The control space under the nonholonomic constraint is defined as a subspace of the tangent space of ${\mathrm {SE}}_{d}$ , whereas the measurement in the robot coordinate frame is given as the group action of ${\mathrm {SE}}_{d}$ . Then, a gradient-based method is developed by using the projection of the gradient flow of an objective function onto the control space. By using the method with a clique-based objective function rather than edge-based ones, the designed formation controller is distributed and uses only measurement information in robot coordinate frames and has the best performance of the gradient-based distributed controllers. The proposed method is valid regardless of the dimension of the space, and therefore, it is applicable to not only automatic guided vehicles (AGVs) but also unmanned aerial vehicles (UAVs). Finally, the effectiveness of the method is demonstrated through simulations in 3-D space and an experiment by mobile indoor robots equipped with light detection and ranging (LiDAR).
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机器人坐标系上的非全局多机器人系统编队控制及其在基于激光雷达的机器人中的应用
本文探讨了机器人坐标系下非全局多机器人系统的编队控制问题。首先,利用特殊欧几里得群 ${\mathrm {SE}}_{d}$ 上的李群理论对机器人坐标系中的非全局约束和测量进行建模。非全局约束下的控制空间被定义为 ${mathrm {SE}}_{d}$ 的切线空间的子空间,而机器人坐标系中的测量被定义为 ${mathrm {SE}}_{d}$ 的群作用。然后,利用目标函数梯度流对控制空间的投影,开发了一种基于梯度的方法。通过使用基于clique的目标函数而不是基于edge的目标函数,所设计的编队控制器是分布式的,并且只使用机器人坐标框架中的测量信息,在基于梯度的分布式控制器中性能最佳。提出的方法不受空间维度的限制,因此不仅适用于自动制导车辆(AGV),也适用于无人驾驶飞行器(UAV)。最后,通过三维空间模拟和装有光探测与测距(LiDAR)的室内移动机器人实验,证明了该方法的有效性。
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来源期刊
IEEE Transactions on Control Systems Technology
IEEE Transactions on Control Systems Technology 工程技术-工程:电子与电气
CiteScore
10.70
自引率
2.10%
发文量
218
审稿时长
6.7 months
期刊介绍: The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.
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