Vibration suppression control of a serial two-link two-inertia system based on physical-parameter estimation

Junji Oaki, Shuichi Adachi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The purpose of our study is to achieve the dynamic model-based control of a nonlinear robot arm, while taking jointelasticity into consideration. We previously proposed a multi-input multi-output system identification method, called the decoupling identification method, for a planar two-link robot arm with elastic-joints due to the Harmonic-drive reduction gears. The robot arm is treated herein as a serial two-link two-inertia system with nonlinearity. Physical parameters such as motor inertias, link inertias, joint-friction coefficients, and joint-spring coefficients of the robot dynamic model are accurately estimated by the decoupling identification method. This paper describes a simple method for achieving the vibration suppression control of a serial two-link two-inertia system based on physical-parameter estimation. We propose a torsional angular velocity feedback scheme, which can be "plugged-in" to an existing PI velocity controller, using a nonlinear state observer based on the accurately estimated dynamic model. In addition, we propose a gain-scheduling control scheme that involves switching inertia parameters to compensate for payload variation. Through several experiments, we demonstrate the effectiveness of the proposed control method by using the elastic-joint robot arm.

Original languageEnglish
Pages (from-to)94-104
Number of pages11
JournalIEEJ Transactions on Industry Applications
Volume133
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

Parameter estimation
Robots
Dynamic models
Identification (control systems)
Angular velocity
Gears
Scheduling
Friction
Feedback
Controllers
Experiments

Keywords

  • Gain-scheduling control
  • Multi-input multi-output system identification
  • Nonlinear observer
  • Torsional angular velocity feedback
  • Two-degree-of-freedom PI controller
  • Two-inertia system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

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abstract = "The purpose of our study is to achieve the dynamic model-based control of a nonlinear robot arm, while taking jointelasticity into consideration. We previously proposed a multi-input multi-output system identification method, called the decoupling identification method, for a planar two-link robot arm with elastic-joints due to the Harmonic-drive reduction gears. The robot arm is treated herein as a serial two-link two-inertia system with nonlinearity. Physical parameters such as motor inertias, link inertias, joint-friction coefficients, and joint-spring coefficients of the robot dynamic model are accurately estimated by the decoupling identification method. This paper describes a simple method for achieving the vibration suppression control of a serial two-link two-inertia system based on physical-parameter estimation. We propose a torsional angular velocity feedback scheme, which can be {"}plugged-in{"} to an existing PI velocity controller, using a nonlinear state observer based on the accurately estimated dynamic model. In addition, we propose a gain-scheduling control scheme that involves switching inertia parameters to compensate for payload variation. Through several experiments, we demonstrate the effectiveness of the proposed control method by using the elastic-joint robot arm.",
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