Research Advances in the Design and Control Technologies of Electric Spindle Motors for CNC Machine Tools

The electric spindle serves as a critical component in enabling a highly dynamic response, stable torque output, and precise motion control for the main cutting operations of CNC machine tools. The design precision and control performance of its drive motor directly influence the geometric accuracy, surface quality, and overall machining efficiency of the workpiece, thereby determining the comprehensive performance of advanced CNC systems. This paper begins with a systematic review of the global industrial layout of CNC machine tool and electric spindle manufacturers, highlighting regional clustering patterns and technological development trends across key manufacturing regions. Subsequently, it classifies and elaborates on the differentiated technical requirements for the electric spindle motor in terms of wide-speed-range servo capability, high-efficiency operation, adaptability to high-speed and high-power cutting loads, and precision maintenance under high-speed conditions, based on the process characteristics of different types of CNC machine tools. A comprehensive overview of the current state of research is provided with respect to electric spindle motor design and control technologies. Finally, forward-looking perspectives are presented on future development directions, particularly in the areas of multi-physics coupling co-design and the integration of intelligent control algorithms, aiming to offer a solid theoretical foundation and strategic guidance for the advancement and engineering application of high-performance electric spindles.

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Publication Details

Journal
Energies
Published
2025-11-28
DOI
https://doi.org/10.3390/en18236243
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Research Advances in the Design and Control Technologies of Electric Spindle Motors for CNC Machine Tools

Haiping Xu, Peng Zhou, Fei Chen, Wei Liu et al.
Energies
Advanced machining processes and optimization
article

Research Advances in the Design and Control Technologies of Electric Spindle Motors for CNC Machine Tools

Haiping Xu, Peng Zhou, Fei Chen, Wei Liu, Jinhua Liang
article en

Abstract

The electric spindle serves as a critical component in enabling a highly dynamic response, stable torque output, and precise motion control for the main cutting operations of CNC machine tools. The design precision and control performance of its drive motor directly influence the geometric accuracy, surface quality, and overall machining efficiency of the workpiece, thereby determining the comprehensive performance of advanced CNC systems. This paper begins with a systematic review of the global industrial layout of CNC machine tool and electric spindle manufacturers, highlighting regional clustering patterns and technological development trends across key manufacturing regions. Subsequently, it classifies and elaborates on the differentiated technical requirements for the electric spindle motor in terms of wide-speed-range servo capability, high-efficiency operation, adaptability to high-speed and high-power cutting loads, and precision maintenance under high-speed conditions, based on the process characteristics of different types of CNC machine tools. A comprehensive overview of the current state of research is provided with respect to electric spindle motor design and control technologies. Finally, forward-looking perspectives are presented on future development directions, particularly in the areas of multi-physics coupling co-design and the integration of intelligent control algorithms, aiming to offer a solid theoretical foundation and strategic guidance for the advancement and engineering application of high-performance electric spindles.

EnergiesVol. 18(23)
Chinese Academy of Sciences (CN), Guizhou Electromechanical Research and Design Institute (CN), Institute of Electrical Engineering (CN), University of Chinese Academy of Sciences (CN), University at Buffalo, State University of New York (US)
Chinese Academy of Sciences
Openalex Percentile: Top 62%
Advanced machining processes and optimization
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