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基于Stewart并联机构的对接机器人自适应阻抗控制

Adaptive impedance control for docking robot via Stewart parallel mechanism.

作者信息

Chen Zhihua, Zhan Gan, Jiang Zhifan, Zhang Wencai, Rao Zhibo, Wang Hua, Li Jiehao

机构信息

Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, 330063, China.

School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing 100081, China.

出版信息

ISA Trans. 2024 Dec;155:361-372. doi: 10.1016/j.isatra.2024.09.008. Epub 2024 Sep 17.

Abstract

This paper provides an adaptive impedance control strategy about docking robot, a locking mechanism scheme based on the Stewart platform developing for the problem of excessive collision contact force caused by external environmental interference during autonomous docking tasks of ground unmanned vehicles. First, the docking robot system was introduced, and an inverse kinematics model of the docking robot was constructed. Next, to solve the problem of excessive collision contact force during docking, we have designed an adaptive impedance control algorithm, which includes a steady-state error model of contact force, an adaptive compensation controller design, and system stability analysis, thus achieving active compliance control. Finally, some simulations and experiments were conducted on the docking robot. Compared with traditional impedance control, adaptive impedance control reduces docking collision contact force and achieves compliant control. In the future, the experimental results provide a new docking approach for autonomous docking of unmanned vehicles, and also serve as a reference for the development of intelligent vehicles.

摘要

本文提出了一种关于对接机器人的自适应阻抗控制策略,针对地面无人车辆自主对接任务中因外部环境干扰导致碰撞接触力过大的问题,开发了一种基于Stewart平台的锁定机构方案。首先,介绍了对接机器人系统,并构建了对接机器人的逆运动学模型。其次,为解决对接过程中碰撞接触力过大的问题,设计了一种自适应阻抗控制算法,该算法包括接触力稳态误差模型、自适应补偿控制器设计以及系统稳定性分析,从而实现主动柔顺控制。最后,对对接机器人进行了一些仿真和实验。与传统阻抗控制相比,自适应阻抗控制降低了对接碰撞接触力,实现了柔顺控制。未来,实验结果为无人车辆自主对接提供了一种新的对接方法,也为智能车辆的发展提供了参考。

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