Constant Force Control Method of Grinding Device

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Intelligent Robotics and Applications (ICIRA 2022)

Abstract

At present, the traditional robot grinding has some shortcomings in output constant force control. As a result, the output force on the grinding object is frequently instable. Improper force can damage the object during grinding and lead huge economic loss. Therefore, how to improve the accuracy of the output force of robot grinding, has become an urgent problem to be solved. In this paper, aim to improve the grinding force control accuracy, a new control framework which is suitable for cylinder driven grinding device is proposed. The control framework is applied to control the cylinder output force of the grinding device, thereby improving the control ability of the high-precision grinding process robot. In the framework, a PID controller with nonlinear differential gain parameters is used, and parameters are optimized by using the Particle Swarm Optimization Algorithm (PSO). The proposed control method, based on the model of the actual cylinder driven grinding device, is verified in MATLAB. The results show that it controls the actual force of the grinding object near the ideal force accurately. The overshoot of the output force on the grinding object is zero and the system stability is very good.

Funded by National Natural Science Foundation of China(62173190, U1913207).

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References

  1. Chong, Z., **e, F., Liu, X.J., et al.: Design of the parallel mechanism for a hybrid mobile robot in wind turbine blades polishing. Robot. Comput.-Integr. Manuf. 61, 101857-1–101857-9 (2020)

    Google Scholar 

  2. Pereira, B., Griffiths, C.A., Birch, B., Rees, A.: Optimization of an autonomous robotic drilling system for the machining of aluminum aerospace alloys. Int. J. Adv. Manuf. Technol. 119, 2429–2444 (2021). https://doi.org/10.1007/S00170-021-08483-4

    Article  Google Scholar 

  3. Preciado, D., Wilson, E., Fooladi, H., Sang, H., Cleary, K., Monfaredi, R.: A new surgical drill instrument with force sensing and force feedback for robotically assisted otologic surgery. J. Med. Dev. 11(3), 031009 (2017). https://doi.org/10.1115/1.4036490

    Article  Google Scholar 

  4. Klingelnberg GmbH: Apparatus for grinding machining of gear wheel workpieces. Patent Application Approval Process (USPTO 20190329339). Politics & Government Week (2019)

    Google Scholar 

  5. **a, G., Zhang, L., Dai, Y., Xue, Y., Zhang, J.: Vertebral lamina state estimation in robotic bone milling process via vibration signals fusion. IEEE Trans. Instrum. Measur. 71(1), 1–10 (2022). https://doi.org/10.1109/TIM.2022.3161704

    Article  Google Scholar 

  6. **a, G., Jiang, Z., Zhang, J., Wang, R., Dai, Y.: Sound pressure signal based bone cutting depth control in robotic vertebral lamina milling. IEEE Sens. J. 22(11), 10708–10718 (2022). https://doi.org/10.1109/JSEN.2022.3167664

    Article  Google Scholar 

  7. **a, G., Dai, Y., Zhang, J., Jia, B.: A method of bone cutting depth control for surgical robot based on acoustic signals. Robot 43(1), 101–111 (2021). https://doi.org/10.13973/j.cnki.robot.200035

    Article  Google Scholar 

  8. Wu, X., Huang, Z., Wan, Y., et al.: A novel force-controlled spherical polishing tool combined with self-rotation and co-rotation motion. IEEE Access 8, 108191–108200 (2020)

    Article  Google Scholar 

  9. Guo, W., Zhu, Y., He, X.: A robotic grinding motion planning methodology for a novel automatic seam bead grinding robot manipulator. IEEE Access 8, 75288–75302 (2020)

    Article  Google Scholar 

  10. Zhu, D., Feng, X., Xu, X., et al.: Robotic grinding of complex components: a step towards efficient and intelligent machining–challenges, solutions, and applications. Robot. Comput.-Integr. Manuf. 65, 101908-1–101908-15 (2020)

    Google Scholar 

  11. Luo, Z., Li, J., Bai, J., Wang, Y., Liu, L.: Adaptive hybrid impedance control algorithm based on subsystem dynamics model for robot polishing. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds.) ICIRA 2019. LNCS, pp. 163–176. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27529-7_15

    Chapter  Google Scholar 

  12. Zhang, Y.D.: Research on robot control method based on six-dimensional force sensor. Master’s degree, Huazhong University of Science & Technology (2019)

    Google Scholar 

  13. Li, J., Guan, Y., Chen, H., et al.: A high-bandwidth end-effector with active force control for robotic polishing. IEEE Access 8, 169122–169135 (2020)

    Article  Google Scholar 

  14. Xu, X., Chen, W., Zhu, D., et al.: Hybrid active/passive force control strategy for grinding marks suppression and profile accuracy enhancement in robotic belt grinding of turbine blade. Robot. Comput.-Integr. Manuf. 67, 102047-1 (2021)

    Google Scholar 

  15. Li, P.W.: Research on constant force control method of compliance device for high precision grinding operation. Master’s degree, Naikai University (2021)

    Google Scholar 

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Correspondence to Dai Yu .

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Wen duo, J., Zi feng, J., Yu, D. (2022). Constant Force Control Method of Grinding Device. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13457. Springer, Cham. https://doi.org/10.1007/978-3-031-13835-5_34

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  • DOI: https://doi.org/10.1007/978-3-031-13835-5_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13834-8

  • Online ISBN: 978-3-031-13835-5

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