Polishing Machine Control System Based on B-Spline Curve Trajectory

In this study, a B-spline trajectory control algorithm is presented, showcasing its ability to achieve smooth trajectory control within an embedded motion control system. Traditional surface machining methods involve converting interpolated trajectories into G-code using numerical control (NC) software, which is then downloaded and executed on the numerical control system. This research introduces a specialized third-degree B-spline interpolation method tailored for curved surface trajectories, aiming to enhance machining efficiency. A significant strength of this project lies in the holistic design of an embedded system, encompassing both hardware circuitry and software logic. Utilizing the cost-effective STM32 architecture, a B-spline discrete velocity interpolation algorithm is implemented, validated through experiments conducted on a polishing machine system. The project involves MATLAB software for data simulations and experiments on a polishing machine using B-spline curve interpolation, confirming the practicality and effectiveness of the third-degree B-spline algorithm within an embedded system.

Authors

Institutions

Publication Details

Journal
ELEKTRIKA- Journal of Electrical Engineering
Published
2024-08-29
DOI
https://doi.org/10.11113/elektrika.v23n2.541
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
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article

Polishing Machine Control System Based on B-Spline Curve Trajectory

Tan Qitao, Mohd Ariffanan Mohd Basri, Jianbin Wang
1 citations
ELEKTRIKA- Journal of Electrical Engineering
Advanced Numerical Analysis Techniques
0.37
article

Polishing Machine Control System Based on B-Spline Curve Trajectory

Tan Qitao, Mohd Ariffanan Mohd Basri, Jianbin Wang
article en
1 citations

Abstract

In this study, a B-spline trajectory control algorithm is presented, showcasing its ability to achieve smooth trajectory control within an embedded motion control system. Traditional surface machining methods involve converting interpolated trajectories into G-code using numerical control (NC) software, which is then downloaded and executed on the numerical control system. This research introduces a specialized third-degree B-spline interpolation method tailored for curved surface trajectories, aiming to enhance machining efficiency. A significant strength of this project lies in the holistic design of an embedded system, encompassing both hardware circuitry and software logic. Utilizing the cost-effective STM32 architecture, a B-spline discrete velocity interpolation algorithm is implemented, validated through experiments conducted on a polishing machine system. The project involves MATLAB software for data simulations and experiments on a polishing machine using B-spline curve interpolation, confirming the practicality and effectiveness of the third-degree B-spline algorithm within an embedded system.

ELEKTRIKA- Journal of Electrical EngineeringVol. 23(2)
Zhaoqing University (CN), University of Technology Malaysia (MY)
Universiti Teknologi Malaysia
Openalex Percentile: Top 44%
Advanced Numerical Analysis Techniques
0.37
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Polishing Machine Control System Based on B-Spline Curve Trajectory — Tan Qitao, Mohd Ariffanan Mohd Basri, et al. · ELEKTRIKA- Journal of Electrical Engineering (2024) | TGRS Research Map | TGRS