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Compliance Control and Experimental Study of Contact Operation for Manipulator

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Proceedings of 2021 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 805))

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Abstract

Aiming at the problem of contact operation of manipulator with uncertain model, a compliant control method was proposed and verified by experiments. When the manipulator contacts with the environment, the force needs to be controlled stably and accurately. If the force is too small, the mission may fail, otherwise it will damage the equipment. Considering that the parameters of the manipulator are not ascertained, the adaptive control method is introduced to solve the problem of control. Taking a typical plug task as an example, the effectiveness of the compliance control method is verified by comparing several groups of experiments. This method is helpful to improve the robustness and intelligence of the manipulator, expand its working range and adaptability.

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References

  1. Cristian, C., Petit, D., Ramirez-Alpizar, I.G.: Variable compliance control for robotic Peg-in-Hole assembly: a deep-reinforcement-learning approach. Appl. Sci. 10(19) (2020)

    Google Scholar 

  2. Nanjangud, A., Underwood, C., Bridges, C.P., et al.: Towards robotic on-orbit assembly of large space telescopes: mission architectures, concepts, and analyses. IAC Washington (2019)

    Google Scholar 

  3. Hu, Y.-R., Goldenberg, A.A.: An adaptive approach to motion and force control of multiple coordinated robot arms. In: IEEE International Conference on Robotics and Automation, vol. 2, pp. 1091–1096 (1989)

    Google Scholar 

  4. Jian, M., Luh, J.Y.S.: Position and force control for two coordinating robots. In: IEEE International Conference on Robotics and Automation, vol. 1, pp. 176–181 (1991)

    Google Scholar 

  5. Gueaieb, W., Karray, F., Al-Sharhan, S.: A robust adaptive fuzzy position/force control scheme for cooperative manipulators. IEEE Trans. Control Syst. Technol. 11(4), 516–528 (2003)

    Article  Google Scholar 

  6. Siqueira, A.A.G., Terra, M.H.: Neural network-based hontrol for fully actuated and underactuated cooperative manipulators. In: American Control Conference (ACC), pp. 3259–3264 (2007)

    Google Scholar 

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Correspondence to Jiaqi Duan .

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Duan, J., Wang, Q., Wang, Y., Chen, Z., Deng, S. (2022). Compliance Control and Experimental Study of Contact Operation for Manipulator. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-16-6320-8_27

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