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Reproduction of Long-Period Ground Motion by Cable Driven Earthquake Simulator Based on Computed Torque Method

  • Daisuke MatsuuraEmail author
  • Taishu Ueki
  • Yusuke Sugahara
  • Minoru Yoshida
  • Yukio Takeda
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 74)

Abstract

In order to reproduce seismic waves classified in long-period ground motion by disaster prevention education facility, an earthquake simulator based on a cable-driven parallel mechanism has been constructed. In this paper, a feedforward-based control scheme was implemented in the cable-driven earthquake simulator for achieving high acceleration with frequent reverse rotation required to reproduce actually-observed seismic waves. The derivation of the dynamic model was done in two steps, the first step is calculating cable tensions to achieve a moving platform’s target acceleration, and the second is for each spooler’s torque calculation to achieve that tension. For a feedforward torque calculation using the second inverse dynamic model of cable spooler, an experimental identification scheme of model parameters which takes a rapid change of torque-velocity relationship of spooler at the moment of reverse rotation into account were figured out. By using the implemented control scheme with identified model parameters, capability of the developed earthquake simulator for reproducing an actually-observed typical long period ground motion was demonstrated by motion control experiments.

Keywords

Cable Driven Parallel Mechanism Earthquake Simulator Seismic Wave Reproduction Computed Torque Method Feedforward Torque Control 

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Notes

Acknowledgement

This work was partially supported by JKA and its promotional funds from AUTORACE (2017M-154). The authors greatly thank Prof. Shigeo Hirose (Cofounder and CEO of HiBot corp., Japan) and Prof. Keisuke Arikawa (Kanagawa Inst. of Tech., Japan) for their valuable advices on the design of cable drive mechanism.

References

  1. 1.
    Yoshio Masaki (2013). Duration of “feeling of being shaken” as Assessed Using an Earthquake Simulator Vehicle. Equilibrium Research, vol. 72, 459-466.Google Scholar
  2. 2.
    H. Koketsu and H. Miyake (2008). A Seismological Overview of Long-Period Ground Motion, Journal of Seismology, Vol. 12, Issue 2, pp. 133-143.CrossRefGoogle Scholar
  3. 3.
    K. Ohtani, N. Ogawa, T. Takayama, and H. Shibata (2004). Construction of E-DEFENSE (3-D full-scale earthquake testing facility). Thirteenth World Conference on Earthquake Engineering, 189.Google Scholar
  4. 4.
    Roh Se-Gon, Y. Taguchi, Y. Nishida, R. Yamaguchi, Y. Fukuda, S. Kuroda, M. Yoshida, Fukushima E. F., and S. Hirose (2013). Development of the portable ground motion simulator of an earthquake. IEEE International Conference on Intelligent Robots and Systems, 5339-5344.Google Scholar
  5. 5.
    S. Hirose, S. Amano (1993). The VUTON: High payload, high efficiency holonomic omnidirectional vehicle. In Proceedings of the Sixth Symposium on Robotics Research, 253-260.Google Scholar
  6. 6.
    D. Matsuura, S. Ishida, M. Akramin, E. B. Küçüktabak, Y. Sugahara, S. Tanaka, N. Fukuwa, M. Yoshida, Y. Takeda (2016). Conceptual Design of a Cable Driven Parallel Mechanism for Planar Earthquake Simulation, The 21st CISM-IFToMM Symposium on Robot Design, Dynamics and Control (ROMANSY2016), Springer, pp.403-411.Google Scholar
  7. 7.
    R. C. Paul: Modelling, Trajectory Calculation, and Servoing of a Computer Controlled Arm. Technical Report AIM-177, Stanford University, Artificial Intelligence Laboratory, 1972.Google Scholar
  8. 8.
    Robert L. Williams IIPaolo Gallina (2003). Translational Planar Cable-Direct-Driven Robots, Journal of Intelligent and Robotic Systems, Vol. 37, Issue 1, pp. 69–96.Google Scholar
  9. 9.
    A. Aflakiyan, H. Bayani, M. T. Masouleh (2015), Computed torque control of a cable suspended parallel robot, Proc. of 2015 3rd RSI Inter. Conf. on Robotics and Mechatronics (ICROM), pp. 749-754.Google Scholar
  10. 10.
    A. B. Alp, S. K. Agrawal (2002). Cable Suspended Robots: Feedback Controllers with Positive Inputs, Proc. of the 2002 American Control Conf., pp. 815-820.Google Scholar
  11. 11.
    A. Pott, T. Bruckmann, L. Mikelsons (2009). Closed-form Force Distribution for Parallel Wire Robots, Computational Kinematics, Springer, pp.25-34.Google Scholar
  12. 12.
    K. Tsuruta, S. Futami, H. Nakamura and T. Murakami (2000). The Inertia Identification Method Eliminating the Influences of Viscous Friction, Coulomb Friction and Constant Disturbance Torque in Motion Systems, J. of the Japan Society for Precision Engineering, Vol. 66, Issue 10, pp. 1564-1567. (In Japanese)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Daisuke Matsuura
    • 1
    Email author
  • Taishu Ueki
    • 1
  • Yusuke Sugahara
    • 1
  • Minoru Yoshida
    • 2
  • Yukio Takeda
    • 1
  1. 1.Tokyo Institute of TechnologyTokyoJapan
  2. 2.Hakusan Corp, J TowerTokyoJapan

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