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A Human Arm’s Mechanical Impedance Tuning Method for Improving the Stability of Haptic Rendering

Published online by Cambridge University Press:  21 July 2020

Xiong LuOpen the ORCID record for Xiong Lu[Opens in a new window],
Beibei Qi,
Hao Zhao and
Junbin Sun
Xiong Lu*
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Beibei Qi
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Hao Zhao
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Junbin Sun
Affiliation:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
*
*Corresponding author. E-mail: luxiong@nuaa.edu.cn
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Summary

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Rendering of rigid objects with high stiffness while guaranteeing system stability remains a major and challenging issue in haptics. Being a part of the haptic system, the behavior of human operators, represented as the mechanical impedance of arm, has an inevitable influence on system performance. This paper first verified that the human arm impedance can unconsciously be modified through imposing background forces and resist unstable motions arising from external disturbance forces. Then, a reliable impedance tuning (IT) method for improving the stability and performance of haptic systems is proposed, which tunes human arm impedance by superimposing a position-based background force over the traditional haptic workspace. Moreover, an adaptive IT algorithm, adjusting the maximum background force based on the velocity of the human arm, is proposed to achieve a reasonable trade-off between system stability and transparency. Based on a three-degrees-of-freedom haptic device, maximum achievable stiffness and transparency grading experiments are carried out with 12 subjects, which verify the efficacy and advantage of the proposed method.

Keywords

Haptic renderingSystem stabilityImpedance tuningMagnetic fieldMechanical impedanceMaximum achievable stiffness

Information

Type
Articles
Information
Robotica , Volume 39 , Issue 4 , April 2021, pp. 652 - 664
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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