A Stability Analysis for the Acceleration-based Robust Position Control of Robot Manipulators via Disturbance Observer

Emre Sariyildiz, Hiromu Sekiguchi, Takahiro Nozaki, Barkan Ugurlu, Kouhei Ohnishi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This paper proposes a new nonlinear stability analysis for the acceleration-based robust position control of robot manipulators by using Disturbance Observer (DOb). It is shown that if the nominal inertia matrix is properly tuned in the design of DOb, then the position error asymptotically goes to zero in regulation control and is uniformly ultimately bounded in trajectory tracking control. As the bandwidth of DOb and the nominal inertia matrix are increased, the bound of error shrinks, i.e., the robust stability and performance of the position control system are improved. However, neither the bandwidth of DOb nor the nominal inertia matrix can be freely increased due to practical design constraints, e.g., the robust position controller becomes more noise sensitive when they are increased. The proposed stability analysis provides insights regarding the dynamic behavior of DOb-based robust motion control systems. It is theoretically and experimentally proved that non-diagonal elements of the nominal inertia matrix are useful to improve the stability and adjust the trade-off between the robustness and noise sensitivity. The validity of the proposal is verified by simulation and experimental results.

Original languageEnglish
JournalIEEE/ASME Transactions on Mechatronics
DOIs
Publication statusAccepted/In press - 2018 Jul 9

Keywords

  • Acceleration-based Control
  • Disturbance Observer
  • Nonlinear Stability Analysis
  • Passivity-based control
  • Robust Position Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A Stability Analysis for the Acceleration-based Robust Position Control of Robot Manipulators via Disturbance Observer'. Together they form a unique fingerprint.

Cite this