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Nonlinear Subsystem-Based Adaptive Impedance Control of Physical Human-Robot-Environment Interaction in Contact-Rich Tasks

Research output: Contribution to journal › Article › Scientific › peer-review

15 Citations (Scopus)
46 Downloads (Pure)

Abstract

Haptic upper limb exoskeletons are robots that assist human operators during task execution while having the ability to render virtual or remote environments. Therefore, ensuring the stability of such robots in physical human-robot-environment interaction (pHREI) is crucial. Having a wide range of Z-width, which indicates the region of passively renderable impedance by a haptic display, is also important for rendering a broad range of virtual environments. To address these issues, this study designs subsystem-based adaptive impedance control to achieve a stable pHREI for 7 degrees of freedom haptic exoskeleton. The presented controller decomposes the entire system into subsystems and designs the controller at the subsystem level. The stability of the controller in the presence of contact with a virtual environment and human arm force is proven by employing the concept of virtual stability. Additionally, the Z-width of the 7-DoF haptic exoskeleton is illustrated using experimental data and improved by exploiting varying virtual mass element. Experimental results are provided to demonstrate the performance of the controller. The control results are also compared to state-of-the-art control methods, highlighting the excellence of the designed controller.

Original languageEnglish
Pages (from-to)6083-6090
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume8
Issue number10
DOIs
Publication statusPublished - Oct 2023
Publication typeA1 Journal article-refereed

Funding

This work was supported by TITANProject funded by theTechnology Industries of FinlandCentennial Foundation and the Jane and Aatos Erkko Foundation Future Makers Programme, 2020-2023.

Keywords

  • adaptive control
  • compliance and impedance control
  • haptics and haptic interfaces
  • Physical human-robot interaction

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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