• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2024, Vol. 60 ›› Issue (11): 145-155.doi: 10.3901/JME.2024.11.145

• 特邀专栏:复杂装备智能设计理论与方法 • 上一篇    下一篇

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轮式多机协同搬运机器人轨迹跟踪控制器设计

何华1, 刘全1, 申屠舒展2, 宫昭1   

  1. 1. 清华大学机械工程系 北京 100084;
    2. 中国机械工业集团有限公司 北京 100080
  • 收稿日期:2023-06-01 修回日期:2023-12-24 出版日期:2024-06-05 发布日期:2024-08-02
  • 作者简介:何华,男,1972年出生,博士研究生。主要研究方向为移动机器人和机器人网络安全。E-mail:13910518989@139.com
    宫昭(通信作者),男,1990年出生,博士。主要研究方向为机构学与机器人,移动机器人多机协作系统。E-mail:gongzhao@126.com
  • 基金资助:
    国家自然科学基金资助项目(92148301)。

Trajectory Tacking Controller Design for Wheeled Robots in Multi-robot Cooperative Transport

HE Hua1, LIU Quan1, SHENTU Shuzhan2, GONG Zhao1   

  1. 1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084;
    2. China National Machinery Industry Corporation, Beijing 100080
  • Received:2023-06-01 Revised:2023-12-24 Online:2024-06-05 Published:2024-08-02

摘要: 轮式移动机器人多机协同搬运负载过程中受到的地面非完整约束以及负载刚性约束,对其轨迹跟踪控制器的动态特性以及稳态误差均提出很高的要求。基于李雅普诺夫第二方法,设计轮式移动机器人渐进稳定轨迹跟踪控制器,实现输入饱和约束可沿广义速度空间边界滑动,在保证控制信号不超出机器人广义速度空间的前提下,提升轨迹跟踪控制器的响应速度。研究轨迹跟踪控制器对不同目标轨迹的跟踪误差规律,提出以门限角度为分界的状态机,控制机器人对目标参数的响应顺序,减小跟踪过程误差。基于模糊控制器,实现轨迹跟踪控制器增益系数的动态调节,有效降低对不同目标速度的跟踪稳态误差。通过多机协同搬运负载试验验证控制器的正确性和有效性。

关键词: 轮式移动机器人, 轨迹跟踪控制器, 模糊控制, 输入饱和, 状态机

Abstract: The multi-robot cooperative transport is subject to non-holonomic constraints and load rigid constraints, which put forward high requirements on the dynamic characteristics and steady-state error of its trajectory tracking controller. Based on Lyapunov’s second method, an asymptotic stable trajectory tracking controller for a wheeled mobile robot is designed, which realizes that the control input saturation constraint can slide along the boundary of the generalized velocity space and improves the response speed of the trajectory tracking controller within the robot’s generalized velocity space. The tracking error law of different target trajectories is studied, and a state machine with a threshold angle as the boundary is proposed to control the response sequence of the robot to the target parameters and reduce the error of the tracking process. Based on the fuzzy controller, the dynamic adjustment of the coefficient items of the trajectory tracking controller is realized, which effectively reduces the tracking steady-state error for different target speeds. The correctness and effectiveness of the controller are verified by multi-robot cooperative transport experiments.

Key words: wheeled mobile robot, trajectory tracking controller, fuzzy control, input saturation, state machine

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