Design and control of variable stiffness joint based on magnetic flux adjustment mechanism

被引:1
作者
Zhang, Ming [1 ]
Hou, Lei
Guo, Huaichao
Li, Hongyu
Sun, Feng
Fang, Lijin
机构
[1] Shenyang Univ Technol, Shenyang, Peoples R China
来源
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION | 2024年 / 51卷 / 06期
关键词
Variable stiffness; Magnetic flux; Stiffness model; Molecular current method; Coordination controller; ACTUATOR;
D O I
10.1108/IR-12-2023-0317
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
PurposeThis study aims to improve the robot's performance during interactions with human and uncertain environments.Design/methodology/approachA joint stiffness model was established according to the molecular current method and the virtual displacement method. The position and stiffness coordination controller and fuzzy adaptive controller of variable stiffness joint are designed, and the principle prototype of variable stiffness joint is built. The position step and trajectory tracking performance of the variable stiffness joint are verified through experiments.FindingsExperimental test shows that the joint stiffness can be quickly adjusted. The accuracy of position and trajectory tracking of the joint increases with higher stiffness and decreases with increasing frequency. The fuzzy adaptive controller performed better than the position and stiffness coordination controller in controlling the position step and trajectory tracking of the variable stiffness joint.Originality/valueA hybrid flux adjustment mechanism is proposed for the components of variable stiffness robot joints, which reduces the mass of the output end of variable stiffness joints and the speed of joint stiffness adjustment. Aiming at the change of system controller performance caused by the change of joint stiffness, a fuzzy adaptive controller is proposed to improve the position step and trajectory tracking characteristics of variable stiffness joints.
引用
收藏
页码:899 / 907
页数:9
相关论文
共 22 条
[21]   A flexible gripper with a wide-range variable stiffness structure based on shape memory alloy [J].
Yang, Canjun ;
Wu, Weitao ;
Wu, Xin ;
Zhou, Jifei ;
Tu, Zhangpeng ;
Lin, Mingwei ;
Zhang, Sheng .
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2022, 49 (06) :1190-1201
[22]  
[张明 Zhang Ming], 2019, [机械工程学报, Journal of Mechanical Engineering], V55, P89