期刊文献+

全向移动小车编队轨迹跟踪及防碰撞控制系统研究 被引量:4

Trajectory Tracking by Mecanum Wheeled Omnidirectional Vehicles in Formation with Collision Avoidance
下载PDF
导出
摘要 针对麦克纳姆轮全向移动小车编队的轨迹跟踪中可能发生的碰撞问题,提出了一种在编队运行过程中实现小车个体相互之间防碰撞的轨迹跟踪方法。首先,建立麦克纳姆轮全向移动小车的运动学和动力学模型;其次,基于滑模控制理论对小车编队进行设计,使其以固定的几何队形达到期望的位置;然后设计一种人工势能函数来保证编队在运行过程中小车个体间的防碰撞;最后,构建出编队的整体输入控制,并且利用李雅普诺夫理论证明了编队的稳定性。通过仿真验证了小车编队可以保持固定队形实现轨迹跟踪,并且在运行过程中防止相互之间碰撞。研究以全向移动小车为研究对象,解决了在防碰撞条件下的编队轨迹跟踪问题,有助于加快多智能体系统的实用化进程。 Aiming at the trajectory tracking problem of the omnidirectional vehicles formation of Mecanum wheel,this paper proposes a trajectory tracking method where the vehicles can avoid collision during the formation process.Firstly,the kinematics and dynamics model of the omnidirectional moving vehicle of the Mecanum wheel are established.Secondly,the formation of the vehicles based on the sliding mode control theory is designed so that it can reach the desired position with a fixed geometric formation.Then,in order to ensure that the vehicles do not collide with each other during the formation process,an artificial potential function is designed.Finally,the overall input control of the formation is constructed,and the stability of the formation is proved by Lyapunov theory.Through simulation,it can be verified that the vehicles formation can maintain a fixed formation to achieve trajectory tracking,and cannot collide with each other during operation.The research in this paper takes omnidirectional mobile vehicles as the research object,solves the problem of formation trajectory tracking under anti-collision conditions,and can accelerate the practical process of multi-agent systems.
作者 张晓峰 于登秀 冯喆 徐浩 ZHANG Xiaofeng;YV Dengxiu;FENG Zhe;XU Hao(Unmanned System Research Institute,Northwestern Polytechnical University,Xi’an 710072,China;School of Electrical and Control Engineering,Xi'an University of Science and Technology,Xi’an 710600,China)
出处 《无人系统技术》 2020年第6期43-49,共7页 Unmanned Systems Technology
基金 国家自然科学基金(62006192)。
关键词 全向移动小车 编队控制 轨迹跟踪 防避碰 滑模控制 人工势能函数 Omnidirectional Vehicle Formation Control Trajectory Tracking Collision Avoidance Sliding Mode Control Artificial Potential Function
  • 相关文献

参考文献1

共引文献7

同被引文献27

引证文献4

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部