控制理论(社会学)
机器人
阻抗控制
机器人末端执行器
刚度
计算机科学
接触力
职位(财务)
跟踪(教育)
扭矩
模拟
人工智能
工程类
控制(管理)
物理
结构工程
热力学
经济
量子力学
教育学
心理学
财务
作者
Bosheng Ye,Bao Song,Zhengyi Li,Shuo Xiong,Xiaoqi Tang
摘要
This paper proposes an adaptive impedance control method for a robot's end-effector while it slides steadily on an arbitrarily inclined panel; it concentrates on robot force position tracking control for the inclined plane with an unknown normal direction and varying environmental damping and stiffness. The proposed control strategy uses the Recursive Least Squares (RLS) algorithm to estimate environmental damping and stiffness parameters during the impact-contact process between the robot and the environment. It achieves the expected posture adjustment of the robot's end-effector based on the measured contact torques and, during the robot's end-effector's sliding on the inclined plane, a fuzzy control is developed to adjust the robot impedance model parameters on-line and adaptively for changes in environmental damping and stiffness. The designed robot force position control method is robust to the changes of the environmental parameters but the implementation of the proposed control algorithms is simple. Finally, experiments demonstrate the effectiveness of the proposed method.
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