Contouring Control of a Five-Axis Machine Tool with Equivalent Errors

Chen, Shyh‐Leh; Khong, Mun-Hooi; Hsieh, Sheng-Min

doi:10.3390/electronics11162521

Cited by 3 publications

(2 citation statements)

References 21 publications

(33 reference statements)

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“…Liu et al [1] proposed a velocity-based contour control method that used a B-spline-based wavelet neural network to approximate unknown dynamics and used neural network identification to design a robust control to improve the contour motion of dual-linear-motor-driven gantry stages. Chen et al [2] transformed the desired contour path and tool orientation in the workpiece coordinate frame to a five-dimensional hypercurve in a machine coordinate frame and then adopted the equivalent error method to design a contouring controller to reduce the errors of the contour path and tool orientation.…”

Section: Introductionmentioning

confidence: 99%

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Yeh

Jiang

2023

Applied Sciences

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The helical contour motion accuracy of feed drive axes is important for thread milling operations in computer numerical control (CNC) machine tools. However, the motion dynamics and external disturbances significantly affect the contour motion results, while the feed drive axes perform helical motions in thread milling operations. Although existing iterative learning contour control (ILCC) methods can improve contour motion accuracy, the problems of data recording and processing on memory usage and computational burden in control systems, wasted materials, and increased costs in thread manufacturing still limit the practical applications of ILCC. Therefore, considering the similar motion dynamics and external disturbances of the feed drive axes during the pitch cycle motions of a helical path, this study developed a pitch cycle-based iterative learning contour control (PCB-ILCC) method to address the control system and thread manufacturing problems caused by the use of ILCC. For PCB-ILCC, this study adopted contour error vector estimation by referring to the interpolated positions on the pitch cycle of the helical path to simplify the computational complexity and designed the ILCC using the cycle learning method to easily implement the ILCC structure. Thus, this study developed a permanent magnet synchronous motor (PMSM) driving control utilizing the robust control method to mitigate the problems of motion dynamics and external disturbances on the feed drive axes. Thread milling experiments performed on a five-axis CNC machining center demonstrated the feasibility of the PCB-ILCC and validated that it can significantly improve the helical contour motion accuracy of the feed drive axes and achieve an 80% contour error reduction rate in comparison with the proportional–proportional–integral control, which is extensively used in commercialized PMSM drivers and CNC controllers.

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Section: Introductionmentioning

confidence: 99%

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Yeh

Jiang

2023

Applied Sciences

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“…With the rapid development of industrial and societal progress, high-precision computer numerical control (CNC) machining has become increasingly important in various automation fields [1]. Interpolation of parametric curves is one of the most effective technical solutions in CNC machining.…”

Section: Introductionmentioning

confidence: 99%

A Feedrate Planning Method in CNC System Based on Servo Response Error Model

et al. 2023

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Reducing servo response error and further making reduction on contour error is crucial for high-precision computer numerical control (CNC) machine tools. For a permanent magnet synchronous motor (PMSM) servo system, there is always a response lag in feedrate tracking, which would introduce response error into the machining trajectory. Therefore, it is necessary to improve the performance of feedrate planning and interpolation for trajectory path. In this paper, a novel contour error compensation strategy is proposed. Compared with the mainstream methods, the proposed method offers a simplified alternative to existing contour error estimation techniques. Through a three-closed-loop control structure of a PMSM servo system, a response error model is founded. Afterwards, an improved S-model feedrate planning method is introduced according to the servo response error compensation. This predicted error is subsequently compensated in each interpolation cycle, resulting in a reduction of contour error. Finally, simulations and experiments are performed to demonstrate that the contour error can be reduced in both the ‘∞’-shaped Non-Uniform Rational B-Spline (NURBS) curve path and the butterfly-shaped NURBS curve path using the proposed method.

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A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools

Osei,

Wei,

et al. 2023

J Intell Manuf

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Contouring Control of a Five-Axis Machine Tool with Equivalent Errors

Cited by 3 publications

References 21 publications

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

A Feedrate Planning Method in CNC System Based on Servo Response Error Model

A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools

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