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Impedance matching control between a human arm and a haptic joystick for long-term

Published online by Cambridge University Press:  25 October 2021

Jiwook Choi ,
Zhanming Gu ,
Jangmyung Lee Open the ORCID record for Jangmyung Lee [Opens in a new window]  and
Inho Lee
Jiwook Choi
Affiliation:
Department of Electronics Engineering, Pusan National University, Busan609-735, Korea
Zhanming Gu
Affiliation:
Department of Electronics Engineering, Pusan National University, Busan609-735, Korea
Jangmyung Lee
Affiliation:
Department of Electronics Engineering, Pusan National University, Busan609-735, Korea
Inho Lee*
Affiliation:
Department of Electronics Engineering, Pusan National University, Busan609-735, Korea
*
*Corresponding author. E-mail: [email protected]
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Abstract

An impedance matching control framework between a human and a haptic joystick for long-term teleoperation is proposed in this research. An impedance model of the human arm is established analyzing the characteristics of human perception, decision, and action. The coefficients of the human arm’s impedance have been identified using a least squares method. The human arm’s impedance matching algorithm generates a corresponding motion vector for the human arm, which is determined by the interaction force measured by a force/torque sensor considering the impedance modeling of the human arm. The impedance control has been adopted for the haptic joystick to match the desired impedance to that of the human arm, which is aimed to minimize the energy consumption of the human arm for long-term teleoperation. By minimizing the fatigue of the operator, the remote control accuracy of the teleoperation can be improved. A PD control with gravity compensation algorithm has been adopted to maintain desired trajectory for the joystick by the operator more conveniently. The effectiveness of matching control has been demonstrated by trajectory following experiments for a mobile robot.

Keywords

human arm’s impedance modelingimpedance estimationimpedance matching controlhaptic joystick
Type
Reply
Information
Robotica , Volume 40 , Issue 6 , June 2022 , pp. 1880 - 1893
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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Footnotes

†

Deceased

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