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Gain Scheduled PID Force Control of a Robotic Arm for Sewing Fabrics

  • Ioannis H. Misios
  • Panagiotis N. KoustoumpardisEmail author
  • Nikos A. Aspragathos
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 980)

Abstract

In this paper, a gain scheduled PID force feedback controller of a manipulator is designed and implemented for the robotized sewing of fabrics, using a commercial sewing machine. The proposed manipulator controller should keep a constant tension of the fabric, to achieve high quality of cloths seams, as the length of the fabric is shortened along the sewing process. For the controller design, a non-linear model of the fabric is considered, varying with the actual length between the grasping and sewing points. The model is based on a simplified Kelvin-Voigt model with non-linear spring and damper coefficients, which also depend on the type and the length of the fabric and are estimated experimentally. The Model-based PID tuning process from Simulink is used, for tuning and scheduling the gains of the PID controller corresponding to fabric’s different actual lengths. The determined sets of gains are used for controlling on-line an Adept Cobra s800 robot to manipulate a woven piece of fabric during the sewing process, where the proposed approach is tested. The proposed force control approach maintains a stable tensional force on the fabric and therefore the quality of the seam and hence of the cloth could be enhanced. Finally, it is compared with a PID controller with constant gains.

Keywords

Robot force control Sewing fabrics PID control Flexible objects 

References

  1. 1.
    Gershon, D.: Strategies for robotic handling of flexible sheet material. Mechatronics 3(5), 611–623 (1993)CrossRefGoogle Scholar
  2. 2.
    Kudo, M., Nasu, Y., Mitobe, K., Borovac, B.: Multi-arm robot control system for manipulation of flexible materials in sewing operation. Mechatronics 10(3), 371–402 (2000)CrossRefGoogle Scholar
  3. 3.
    Koustoumpardis, P.N., Aspragathos, N.A.: Robotized sewing of fabrics based on a force neural network controller. In: 4th International Conference on Intelligent Robotics and Applications, Lecture Notes in Computer Science, ICIRA 2011, Germany, vol. 7101, LNAI, pp. 486–495. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Koustoumpardis, P.N., Aspragathos, N.A.: Intelligent hierarchical robot control for sewing fabrics. Robot. Comput. Integr. Manuf. 30(1), 34–46 (2014)CrossRefGoogle Scholar
  5. 5.
    Triantafyllou, D., Koustoumpardis, P., Aspragathos, N.: Model reference fuzzy learning force control for robotized sewing. In: 19th Mediterranean Conference on Control and Automation, MED 2011, Corfu, Greece, June 20–23, 2011Google Scholar
  6. 6.
    Schrimpf, J., Wetterwald, L.E.: Experiments towards automated sewing with a multi-robot system. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 5258–5263 (2012)Google Scholar
  7. 7.
    Book, W.J., Killpack, M., Huggins, J., Collins, T., Dickerson, S.: UPL-2620, pp. 1–10 (2010)Google Scholar
  8. 8.
    Kawabata, M., Niwa, S.: Objective measurement of fabric mechanical property and quality. J. Cloth. Sci. Technol. 3(1), 7–18 (1995)CrossRefGoogle Scholar
  9. 9.
    Minazio, P.G., Minazio, P.G.: FAST – fabric assurance by simple testing (1996)Google Scholar
  10. 10.
    Stylios, G.K.: New measurement technologies for textiles and clothing. Int. J. Cloth. Sci. Technol. 17(3/4), 135–149 (2005)CrossRefGoogle Scholar
  11. 11.
    Liu, Y., Hu, H.: Compressive mechanics of warp-knitted spacer fabrics. Text. Res. J. 86(1), 3–12 (2016)CrossRefGoogle Scholar
  12. 12.
    Leith, D.J., Leithead, W.: Survey of Gain-Scheduling Analysis & DesignGoogle Scholar
  13. 13.
    Stilwell, D.J., Rugh, W.J.: Interpolation methods for gain scheduling. In: IEEE Conference on Decision and Control, pp. 3003–3008 (1998)Google Scholar
  14. 14.
    Inman, D.J.: Engineering Vibration, pp. 43–48. Pearson Education Inc., Upper Saddle (2008). ISBN 0-13-228173-2Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ioannis H. Misios
    • 1
  • Panagiotis N. Koustoumpardis
    • 1
    Email author
  • Nikos A. Aspragathos
    • 1
  1. 1.Robotics Group, Mechanical and Aeronautics Engineering DepartmentUniversity of PatrasPatrasGreece

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