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Research on a novel integrated control strategy for contour error compensation of biaxial CNC machining

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Abstract

In the applications of multi-axis computer-numerical-control (CNC) precision machining, one of the important issues in the multi-axis contour following task is to reduce the contour error in the machining process. A popular method to solve this problem is the cross-coupling control (CCC). As the traditional CCC method cannot meet the requirements for tracking accuracy and contour control accuracy for large curvature positions, a novel integrated control strategy of cross-coupling contour error compensation, which consists of an improved real-time contour error estimation algorithm based on arc length parameters, an improved position error compensator (PEC) and a single neuron cross-coupling controller, is proposed. To improve the accuracy of contour error estimation for large curvature trajectories, an improved real-time estimation algorithm of contour error based on arc length parameters is proposed. The method first finds the nearest interpolation point by backtracking method and calculates the backward reference point by using the method based on arc length parameters. Then, the obtained backward reference point is used as the desired command point by arc approximation method to find the estimated value of contour error. Moreover, a single-neuron adaptive cross-coupling controller is designed, which continuously adjusts the weights through a single-neuron learning algorithm to reach the effect of improving the control accuracy. In addition, an improved PEC method is further presented, which improves the tracking accuracy by compensating the tracking error in advance. The feasibility of the proposed integrated control strategy is verified with several non-uniform rational B-spline (NURBS) parametric curve contour following experiments. Moreover, experimental results indicate that the proposed integrated control strategy can significantly improve the tracking and contour control accuracy of biaxial contour following tasks compared with None CCC method and CCC method and has better contour control performance in large curvature positions.

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Funding

This work was supported by the Program of Brought in Urgently-Needed Talents for Principally Supported Regions of Shandong Province and the Taishan Industrial Experts Program, P. R. China. Authors Jun Zhao and Yongliang Lu have received research support from the Shandong Deed Precision Machine Tool Co., Ltd.

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Authors and Affiliations

  1. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, 250061, China

    Yongliang Lu, Jun Zhao, Xianshun Sun, Shaokang Song, Zijian Zhang & Qinghua Liu

  2. School of Mechanical Engineering, Shandong University, Jinan, 250061, China

    Yongliang Lu, Jun Zhao, Xianshun Sun, Shaokang Song, Zijian Zhang & Qinghua Liu

  3. Shandong Deed Precision Machine Tool Co., Ltd, Jining, 272000, China

    Zhen Zhang

  4. College of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China

    Zhongyu Fu

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  1. Yongliang Lu
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  2. Jun Zhao
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Correspondence to Jun Zhao.

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Lu, Y., Zhao, J., Zhang, Z. et al. Research on a novel integrated control strategy for contour error compensation of biaxial CNC machining. Int J Adv Manuf Technol 130, 385–402 (2024). https://doi.org/10.1007/s00170-023-12645-x

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