Robotic metal spinning- numerical investigations for vibration suppression and experimental implementation using an industrial robot

Abdullah Özer, Hirohiko Arai

Research output: Contribution to journalArticle

Abstract

Traditionally, robotic manipulators have been used extensively for repetitive manufacturing processes where their power, speed and accuracy offer significant advantages over human performance. Today, industrial automation has significantly raised the expectations from the robots in terms of their functionality and diversity of application areas. This paper aims at providing a basis for the extension of robotic applications to metal spinning process and improve its performance. Numerical predictions are presented in this paper to demonstrate the effectiveness of a control technique in providing attenuation of excessive oscillations of a multi-link arm under harmonic excitations. A dynamical model has been developed considering the nonlinearity and the gravity effects of vibrations. Variable stiffness control technique has been proposed and tested for the vibration suppression of a multi-link robotic arm model. The technique is based on actively manipulating the joint resilience. It is a stable control technique due to its being dissipative in nature and it can be used as an add-on controller. Results show that the proposed controller can significantly improve the performance of robot manipulators under excessive forced vibrations.

Original languageEnglish
Pages (from-to)227-232
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume42
Issue number16
DOIs
Publication statusPublished - 2009

Fingerprint

Metal spinning
Industrial robots
Robotics
Manipulators
Robots
Robotic arms
Controllers
Gravitation
Automation
Stiffness

Keywords

  • Control
  • Dynamic modeling
  • Intelligent manufacturing systems
  • Kinematics
  • Robotics
  • Vibration

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

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