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Impedance Control for Underwater Gripper Compliant Grasping in Unstructured Environment

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Intelligent Robotics and Applications (ICIRA 2021)

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Abstract

Impedance control, which is a classical compliant control method, does not possess a good force tracking ability in the underwater environment as in the air environment, due to the underwater factors such as water resistance, random disturbance of water flow and buoyancy. In this paper, two controllers are presented to solve the force tracking problem of underwater compliant grasping, the impedance controller based on parameter identification and the adaptive impedance controller. The former one updates the environment information in real time through RLS method that introduces a forgetting factor. The latter one adjusts the target stiffness and desired position of the impedance model and introduces an adaptive compensation term. Further, simulations to compare the performance with the two controllers, are conducted. It is strongly proved that the impedance controller based on parameter identification is less sensitive to the response speed of the position inner loop, and has better robustness. Finally, it is proved by experiments that the controller has a good performance in the real underwater compliant grasping task.

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References

  1. Yin, Y.: Research on compliance control of robot. ROBOT 020(003), 232–240 (1998)

    Google Scholar 

  2. Hongan, N.: Impedance control: an approach to manipulation: part i—theory. J. Dyn. Syst. Meas. Contr. 107(1), 1–7 (1985)

    Article  Google Scholar 

  3. Roveda, L., Vicentini, F., Pedrocchi, N., et al.: Impedance control based force-tracking algorithm for interaction robotics tasks: An analytically force overshoots-free approach. In: 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO), pp.386–391. IEEE, Colmar, (2015)

    Google Scholar 

  4. Jamil, M., Jalani J., Ahmad A.: A new approach of active compliance control via fuzzy logic control for multifingered robot hand. In: 1st International Workshop on Pattern Recognition. pp. 1001111. SPIE, Tokyo (2016)

    Google Scholar 

  5. Kim, T., Kim, H.S., Kim, J.: Position-based impedance control for force tracking of a wall-cleaning unit. Int. J. Precis. Eng. Manuf. 17(3), 323–329 (2016). https://doi.org/10.1007/s12541-016-0040-x

    Article  Google Scholar 

  6. Song, H.-C., Kim, Y.-L., Lee, D.-H., Song, J.-B.: Electric connector assembly based on vision and impedance control using cable connector-feeding system. J. Mech. Sci. Technol. 31(12), 5997–6003 (2017). https://doi.org/10.1007/s12206-017-1144-7

    Article  Google Scholar 

  7. Franceschi, P., Castaman, N., Ghidoni, S., et al.: Precise robotic manipulation of bulky components. In: IEEE Access, pp 222476–222485 (2020)

    Google Scholar 

  8. Cieslak, P., Ridao, P.: Adaptive admittance control in task-priority framework for contact force control in autonomous underwater floating manipulation, In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6646–6651. IEEE, Madrid (2018)

    Google Scholar 

  9. Seki, Y., Sagara, S., Ambar, R.: Impedance control of dual-arm 3-link underwater robot: in the case of grasping a fixed object lightly with one hand. In: International Conference on Information and Communication Technology Robotics, pp. 1–4. IEEE, Busan (2018)

    Google Scholar 

  10. Zhang, J., Liu, W., Gao, L., et al.: The master adaptive impedance control and slave adaptive neural network control in underwater manipulator uncertainty teleoperation. Ocean Engineering. Vol. 165, pp 465–479 (2018)

    Google Scholar 

  11. Zhang, J., Liu, W., Li, L., et al.: Adaption impedance control for underwater manipulator intelligent grasping in unknown environment. J. Shanghai Jiaotong Univ. (Chin. Ed.) 53(03), 341–347 (2019)

    Google Scholar 

  12. Dai, P., Lu, W., Le, K., et al.: Sliding mode impedance control for contact intervention of an I-AUV: simulation and experimental validation. Ocean Engineering 196, 106855.1–106855.11 (2020)

    Google Scholar 

  13. Jung, S., Hsia, T., Bonitz, R.: Force tracking impedance control of robot manipulators under unknown environment. IEEE Trans. Control Syst. Technol. 12(3), 474–483 (2004)

    Article  Google Scholar 

  14. Al-Shuka, H., Leonhardt, S., Zhu, W., et al.: Active impedance control of bioinspired motion robotic manipulators: an overview. Applied Bionics and Biomechanics 2018, 8203054–8203073 (2018)

    Article  Google Scholar 

  15. Wang, T., Li, Y., et al.: A novel bilateral impedance controls for underwater teleoperation systems. Appl. Soft Comput. 91, 106194.1-106194.8 (2020)

    Google Scholar 

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Acknowledgments

This work was supported in part by Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515011717), and in part by the project under Grant No. 2019ZT08Z780, and in part by Dongguan Introduction Program of Leading Innovative and Entrepreneurial Talents, and in part by National Key R&D Program of China under grant number 2017YFC0821200.

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Correspondence to Bin Han .

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Lu, L. et al. (2021). Impedance Control for Underwater Gripper Compliant Grasping in Unstructured Environment. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13016. Springer, Cham. https://doi.org/10.1007/978-3-030-89092-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-89092-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89091-9

  • Online ISBN: 978-3-030-89092-6

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