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Design and implementation of hybrid force/position control for robot automation grinding aviation blade based on fuzzy PID

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Abstract

The hybrid force/position control base on fuzzy proportional-integral-derivative (PID) is proposed to improve the quality of robotic automatic grinding aviation blades. First, the perception for the contact force/torque is discussed. A multi-source parameters gravity compensation matrix is established to identify the parameters through matrix reorganization. The contact force/torque is perceived according to the gravity compensation result. Then, the hybrid force/position control base on fuzzy PID is designed to realize active force control. Nevertheless, the sharp edge phenomenon occurs although the force control algorithm, which seriously affects the grinding quality of blades. Finally, the fusion control of force and torque is proposed to weaken the sharp edge phenomenon. The experiment proves that the introduction of torque control avoids effectively the sharp edge phenomenon. Meanwhile, comparing the proposed control algorithm with the traditional PID control, the results show that the proposed hybrid force/position control based on fuzzy PID can ensure the stability of the contact force and improve the quality of the aviation blades.

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Funding

The study was financially supported by the National Natural Science Foundation of China (grant no. 51775542) and National Key Research and Development Program of China (grant no. 2016YFB1100502).

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Authors and Affiliations

  1. State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 110016, China

    Hongyao Zhang, Lun Li, Jibin Zhao, Jingchuan Zhao, Sujie Liu & Jiajun Wu

  2. Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, 110169, China

    Hongyao Zhang, Lun Li, Jibin Zhao, Jingchuan Zhao, Sujie Liu & Jiajun Wu

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Hongyao Zhang, Jingchuan Zhao, Sujie Liu & Jiajun Wu

Authors
  1. Hongyao Zhang
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  2. Lun Li
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  3. Jibin Zhao
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  4. Jingchuan Zhao
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  5. Sujie Liu
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  6. Jiajun Wu
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Correspondence to Jibin Zhao.

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Zhang, H., Li, L., Zhao, J. et al. Design and implementation of hybrid force/position control for robot automation grinding aviation blade based on fuzzy PID. Int J Adv Manuf Technol 107, 1741–1754 (2020). https://doi.org/10.1007/s00170-020-05061-y

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  • DOI: https://doi.org/10.1007/s00170-020-05061-y

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