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Offline fast modification of position loop gains for five-axis machining

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Abstract

Servo matching (SM) controls the contour error (CE) by coordinating the tracking error (TE) of each axis, which is a basic strategy of CE control. However, the five-axis SM approach has not been widely used in engineering because of the long time to compute the modification of the position loop gain (PLG). This paper establishes the function relationship between the five-axis PLG and parts CE based on the Jacobian matrix. An offline PLG fast modification approach for parts CE in five-axis machining was proposed based on the above criteria. Using this approach, five-axis machine tools could modify the PLG of each axis for specific parts to improve contour accuracy. Compared to the traditional approach, the servo control model prediction, forward kinematics transformation (FKT), and tool contour pose search are omitted in the proposed approach. Therefore, the computational load is reduced significantly, computing time is reduced by more than 98%, and average contour accuracy is improved by more than 57%.

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Funding

This work is financially supported by the project of the National Natural Science Funds of China (grant no. 52175483).

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Authors and Affiliations

  1. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, 710054, China

    Dun Lyu, Xinxin Ye, Huijie Zhang & Hui Liu

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  1. Dun Lyu
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  2. Xinxin Ye
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  3. Huijie Zhang
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  4. Hui Liu
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Dun Lyu, Xinxin Ye, Huijie Zhang, and Hui Liu. The first draft of the manuscript was written by Xinxin Ye, the second revision of the manuscript was written by Xinxin Ye, and all authors commented on previous versions. All authors read and approved the final manuscript.

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Correspondence to Dun Lyu.

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Lyu, D., Ye, X., Zhang, H. et al. Offline fast modification of position loop gains for five-axis machining. Int J Adv Manuf Technol 127, 3951–3963 (2023). https://doi.org/10.1007/s00170-023-11756-9

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  • DOI: https://doi.org/10.1007/s00170-023-11756-9

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