Nonlinear impedance control with trajectory adaptation for collaborative robotic grinding

Stiffness adjustment is an important feature of human arm control. The adaptive variable impedance control can adapt to the robotic stiffness, but may result in a large overshoot. In this paper, nonlinear impedance control is proposed for collaborative robotic grinding, where nonlinear force feedbac...

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Bibliographic Details
Published in:Science China. Technological sciences 2023-07, Vol.66 (7), p.1928-1936
Main Authors: Han, FengTao, Tam, SikYuen, Cao, ZhiHong, Zhao, XingWei, Tao, Bo, Ding, Han
Format: Article
Language:English
Subjects:
Adaptation
Adaptive control
Collaboration
Engineering
Grinding
Impedance
Nonlinear control
Robotics
Robots
Stiffness
Systems stability
Tracking
Trajectory control
Turbine blades
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Summary:Stiffness adjustment is an important feature of human arm control. The adaptive variable impedance control can adapt to the robotic stiffness, but may result in a large overshoot. In this paper, nonlinear impedance control is proposed for collaborative robotic grinding, where nonlinear force feedback is designed to compensate for the nonlinear stiffness of the environment. Thus, the interaction system can be linearization to ensure the system stability. Moreover, a target trajectory adaptation strategy is studied to ensure the force tracking requirement. Then, switching law between trajectory tracking and force tracking is proposed when the robot performs a complex grinding task. The stability of the switch control as well as the trajectory adaptation law is proved. Experiments are conducted in a robotic grinding test rig, where the robot is used to grind a turbine blade. Experimental results show that the nonlinear impedance control can obtain stable grinding force, and have better grinding quality than the linear impedance control.
ISSN:1674-7321
1869-1900
DOI:10.1007/s11431-022-2418-4