Formation Control and Experiment for Propeller-Driven Car-Like Robots With Amplitude and Rate Saturation Under Jointly Connected Topology

IF 5.1 2区 计算机科学 Q2 ROBOTICS
Journal of Field Robotics Pub Date : 2026-04-08 Epub Date: 2025-10-16 DOI:10.1002/rob.70100
Sun Yang, Guo Yong, Li Aijun
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引用次数: 0

Abstract

In this paper, a formation controller for propeller-driven car-like robots is developed, which is subject to input amplitude, rate saturation, and the jointly connected topology. First, the model of the propeller-driven car-like robot is established, where actuator dynamics, amplitude, and rate saturation are considered. Second, the Gauss integration function is used to approximate the input saturation. Rate saturation will be converted into command input saturation and will be achieved by an auxiliary system. Third, the formation controller is developed based on the backstepping control method, where the adaptive robust controller and neural networks are combined to deal with unmodeled dynamics and external disturbances. According to the Lyapunov stability theory, it is proved that the propeller-driven multirobot system will be stable under the developed controller, while signals in the closed-loop system are ultimately uniformly bounded. Finally, simulation and experiment results verify the effectiveness of the proposed formation control scheme.

联合连通拓扑下振幅和速率饱和的螺旋桨驱动类车机器人编队控制与实验
提出了一种受输入幅值、速率饱和和联合连接拓扑约束的螺旋桨驱动类车机器人编队控制器。首先,建立了考虑作动器动力学、幅值和速率饱和的螺旋桨驱动类车机器人模型;其次,利用高斯积分函数逼近输入饱和。速率饱和将转换为命令输入饱和,并由辅助系统实现。第三,在反步控制方法的基础上,将自适应鲁棒控制器与神经网络相结合,实现了对未建模动力学和外部干扰的处理。根据李雅普诺夫稳定性理论,证明了在所设计的控制器下螺旋桨驱动多机器人系统是稳定的,而闭环系统中的信号最终是一致有界的。最后,仿真和实验结果验证了所提编队控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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