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Accuracy Improvement for CDPRs Based on Direct Cable Length Measurement Sensors

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Part of the Mechanisms and Machine Science book series (Mechan. Machine Science,volume 104)

Abstract

In many applications of cable-driven parallel robots (CDPRs), accuracy is an important requirement. The accuracy of CDPRs with a controller based only on the standard kinematic model is limited because of effects like cable elongation. Carrying payload on the platform, i.e. applying an external wrench, increases the influence of this effect. To address this problem, we present a cable length correction method based on direct cable length measurement sensors (DCLM-Sensors). With this method, effects like cable elongation can be compensated. In experiments, the position accuracy of the cable robot IPAnema 3 could be improved by 61.49% without additional payload, and 86.31% with additional payload. We present the integration of the sensor feedback in the cable robot controller and the results of an experimental evaluation on the cable robot IPAnema 3.

Keywords

  • Cable-driven parallel robot
  • CDPR
  • Direct cable length measurement
  • DCLM-Sensor
  • Laser sensor
  • Accuracy
  • Elongation
  • Creep

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Fig. 1.

(modified from [2])

Fig. 2.

(modified from [5])

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Notes

  1. 1.

    https://gitlab.cc-asp.fraunhofer.de/wek/wirex.git.

  2. 2.

    https://www.sick.com/de/en/p/p346664 [Accessed: 04-February-2021].

  3. 3.

    https://www.hexagonmi.com/de-de/products/laser-tracker-systems/leica-absolute-tracker-at960 [Accessed: 04-February-2021].

References

  1. Dallej, T., et al.: Modeling and vision-based control of large-dimension cable-driven parallel robots using a multiple-camera setup. Mechatronics 61, 20–36 (2019)

    CrossRef  Google Scholar 

  2. Fabritius, M., Martin, C., Pott, A.: Calculation of the collision-free printing workspace for fully-constrained cable-driven parallel robots. In: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection (2018)

    Google Scholar 

  3. Fortin-Côté, A., Cardou, P., Campeau-Lecours, A.: Improving cable driven parallel robot accuracy through angular position sensors. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4350–4355. IEEE (2016)

    Google Scholar 

  4. Lamaury, J., Gouttefarde, M.: Control of a large redundantly actuated cable-suspended parallel robot. In: 2013 IEEE International Conference on Robotics and Automation, pp. 4659–4664. IEEE (2013)

    Google Scholar 

  5. Martin, C., et al.: A laser-based direct cable length measurement sensor for CDPRs. In: Robotics 10.2 (2021). ISSN: 2218-6581. https://doi.org/10.3390/robotics10020060. https://www.mdpi.com/2218-6581/10/2/60

  6. Merlet, J.-P.: Improving cable length measurements for large CDPR using the vernier principle. In: Pott, A., Bruckmann, T. (ed.) Cable-Driven Parallel Robots, vol. 74, pp. 47–58. Springer (2019)

    Google Scholar 

  7. Merlet, J.-P.: MARIONET, a family of modular wire-driven parallel robots. In: Advances in Robot Kinematics (ARK), pp. 53–61. Springer (2010)

    Google Scholar 

  8. Miermeister, P., Pott, A.: Auto calibration method for cable-driven parallel robots using force sensors. In: Lenarcic, J., Husty, M. (ed.) Latest Advances in Robot Kinematics, pp. 269–276. Springer (2012)

    Google Scholar 

  9. Piao, J., et al.: A polymer cable creep modeling for a cable-driven parallel robot in a heavy payload application. In: Gosselin, C., et al. (ed.) Cable-Driven Parallel Robots, vol. 53, pp. 62–72. Springer (2018)

    Google Scholar 

  10. Pott, A.: Cable-Driven Parallel Robots: Theory and Application, vol. 120. Springer, Berlin (2018)

    Google Scholar 

  11. Pott, A.: Inuence of pulley kinematics on cable-driven parallel robots. In: Lenarcic, J., Husty, M. (ed.) Latest Advances in Robot Kinematics, pp. 197–204. Springer (2012)

    Google Scholar 

  12. Pott, A., et al.: IPAnema: a family of cable-driven parallel robots for industrial applications. In: Bruckmann, T., Pott, A. (ed.) Cable-Driven Parallel Robots, vol. 12, pp. 119–134. Springer (2013)

    Google Scholar 

  13. Dit Sandretto, J.A., et al.: Certifited calibration of a cable-driven robot using interval contractor programming. In: Thomas, F., Perez Gracia, A. (ed.) Computational Kinematics, vol. 15, pp. 209–217. Springer (2014)

    Google Scholar 

  14. Schmidt, V.: Modeling Techniques and Reliable Real-Time Imple- mentation of Kinematics for Cable-Driven Parallel Robots using Polymer Fiber Cables. PhD thesis. University of Stuttgart (2017)

    Google Scholar 

  15. Schmidt, V., Pott, A.: Implementing extended kinemat- ICS of a cable-driven parallel robot in real-time. In: Cable-Driven Parallel Robots, pp. 287–298. Springer, Berlin (2013)

    Google Scholar 

  16. Schmidt, V., Pott, A.: Increase of position accuracy for cable-driven parallel robots using a model for elongation of plastic fiber ropes. In: Wenger, P., Flores, P. (ed.) New Trends in Mechanism and Machine Science, vol. 43, pp. 335–343. Springer (2017)

    Google Scholar 

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Correspondence to Christoph Martin .

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Martin, C., Fabritius, M., Stoll, J.T., Pott, A. (2021). Accuracy Improvement for CDPRs Based on Direct Cable Length Measurement Sensors. In: Gouttefarde, M., Bruckmann, T., Pott, A. (eds) Cable-Driven Parallel Robots. CableCon 2021. Mechanisms and Machine Science, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-030-75789-2_28

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