Combined contour error control method for five-axis machine tools based on digital twin

Contour error is a critical factor influencing machining quality. This paper proposes a combined contour error control method for five-axis machine tools based on digital twin. The proposed method combines pre-compensation implemented in digital twin with feedback control in the real-time controller. After obtaining the tool path input, the digital twin performs interpolation and applies model predictive pre-compensation control to the interpolated commands to control modeled errors. The pre-compensated commands and interpolation data are sent to the real-time controller where contour error is estimated and controlled in each control cycle through feedback control to control unmodeled errors. Using the S-shaped curve as the test case, the maximum tool tip position contour error is reduced by 77.78%, with an average reduction of 83.90%. The maximum tool orientation contour error decreased by 79.05%, with an average reduction of 86.66%. The experimental results demonstrate that the proposed method significantly reduces tool contour error.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-22
DOI
https://doi.org/10.1038/s41598-025-02047-2
Citations
4
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
4.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combined contour error control method for five-axis machine tools based on digital twin

Zhiqi Yang, Yanqiang Liu, Liuquan Wang, Shisheng Lv et al.
4 citations
Scientific Reports
Iterative Learning Control Systems
4.86
article

Combined contour error control method for five-axis machine tools based on digital twin

Zhiqi Yang, Yanqiang Liu, Liuquan Wang, Shisheng Lv, Qiang Liu, Xin Song, Ruijie Yang
article en
4 citations

Abstract

Contour error is a critical factor influencing machining quality. This paper proposes a combined contour error control method for five-axis machine tools based on digital twin. The proposed method combines pre-compensation implemented in digital twin with feedback control in the real-time controller. After obtaining the tool path input, the digital twin performs interpolation and applies model predictive pre-compensation control to the interpolated commands to control modeled errors. The pre-compensated commands and interpolation data are sent to the real-time controller where contour error is estimated and controlled in each control cycle through feedback control to control unmodeled errors. Using the S-shaped curve as the test case, the maximum tool tip position contour error is reduced by 77.78%, with an average reduction of 83.90%. The maximum tool orientation contour error decreased by 79.05%, with an average reduction of 86.66%. The experimental results demonstrate that the proposed method significantly reduces tool contour error.

Scientific ReportsVol. 15(1)
China National Space Administration (CN), Jiangxi Institute of Agricultural Machinery (Company) (CN), Beihang University (CN)
Openalex Percentile: Top 5%
Iterative Learning Control Systems
4.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.