Predictive Delay Compensation for Camera Based Oscillation Damping of a Multi Link Flexible Robot

  • Jörn Malzahn
  • Anh Son Phung
  • Torsten Bertram
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7508)

Abstract

For oscillation damping of a multi link flexible arm under gravity this paper exploits the image data already acquired by an eye-in-hand camera used for visual servoing. It replaces commonly applied distributed strain measurements in a model free oscillation damping control concept. Based on simulations and experiments the paper compares three predictive signal processing approaches to compensate for the sensor inherent delay. Damping results for oscillations induced by joint motions as well as sudden load changes are presented in three different unstructured scenes.

Keywords

Multi link flexible robots visual oscillation damping delay compensation 

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References

  1. 1.
    Malzahn, J., Phung, A., Hoffmann, F., Bertram, T.: Vibration Control of a Multi-Flexible-Link Robot Arm under Gravity. In: International Conference on Robotics and Biomimetics, Phuket, Thailand. IEEE (2011)Google Scholar
  2. 2.
    Malzahn, J., et al.: Markerless Visual Vibration Damping of a 3-DOF Flexible Link Robot Arm. In: 41st International Symposium on Robotics (ISR) and 6th German Conference on Robotics (ROBOTIK), pp. 401–408. VDE (2010)Google Scholar
  3. 3.
    Jiang, X., Konno, A., Uchiyama, M.: A vision-based endpoint trajectory and vibration control for flexible manipulators. In: International Conference on Robotics and Automation, pp. 3427–3432. IEEE (2007)Google Scholar
  4. 4.
    Koehl, P.: Linear prediction spectral analysis of nmr data. Progress in Nuclear Magnetic Resonance Spectroscopy 34(3), 257–300 (1999)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Kauppinen, I., Roth, K.: Audio signal extrapolation–theory and applications. In: Proceedings of the 5th Int. Conference on Digital Audio Effects, pp. 105–110 (2002)Google Scholar
  6. 6.
    Dubus, G., David, O., Measson, Y.: A vision-based method for estimating vibrations of a flexible arm using on-line sinusoidal regression. In: International Conference on Robotics and Automation (ICRA), pp. 4068–4075. IEEE (2010)Google Scholar
  7. 7.
    Burg, J.: Maximum Entropy Spectral Analysis, Stanford University. PhD thesis (1979)Google Scholar
  8. 8.
    Srinivas, R.: Textbook of Mechanical Vibrations. PHI Learning Pvt. Ltd. (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jörn Malzahn
    • 1
  • Anh Son Phung
    • 1
  • Torsten Bertram
    • 1
  1. 1.Institute of Control Theory and Systems EngineeringTechnische Universität DortmundDortmundGermany

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