Frontiers in Neurorobotics (Mar 2022)

An Adaptive Time-Varying Impedance Controller for Manipulators

  • Xu Liang,
  • Xu Liang,
  • Tingting Su,
  • Zhonghai Zhang,
  • Jie Zhang,
  • Shengda Liu,
  • Quanliang Zhao,
  • Junjie Yuan,
  • Can Huang,
  • Lei Zhao,
  • Guangping He

DOI
https://doi.org/10.3389/fnbot.2022.789842
Journal volume & issue
Vol. 16

Abstract

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Aiming at the situation that the structural parameters of the general manipulators are uncertain, a time-varying impedance controller based on model reference adaptive control (MRAC) is proposed in this article. The proposed controller does not need to use acceleration-based feedback or to measure external loads and can tolerate considerable structure parameter errors. The global uniform asymptotic stability of the time-varying closed-loop system is analyzed, and a selection approach for control parameters is presented. It is demonstrated that, by using the proposed control parameter selection approach, the closed-loop system under the adaptive controller is equivalent to an existing result. The feasibility of the presented controller for the general manipulators is demonstrated by some numerical simulations.

Keywords