Research on Disturbance Suppression Based Motion Axis Control of Machine Tools

For the high-precision tracking performance of machine tool motion axis control, this paper establishes a system mathematical model considering the elastic deformation of ball screws, and then designs a sliding mode controller to suppress the influence of uncertainty on control performance. Next, an extended state observer was designed to observe the system state and disturbances, and feed them back to the sliding mode controller for position control. Finally, the correctness of the designed sliding mode control and extended state observer was demonstrated through MATLAB simulation analysis.

Authors

Publication Details

Journal
Modern management science & engineering.
Published
2024-12-30
DOI
https://doi.org/10.22158/mmse.v6n3p277
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Disturbance Suppression Based Motion Axis Control of Machine Tools

Sanqiu Liu
Modern management science & engineering.
Iterative Learning Control Systems
article

Research on Disturbance Suppression Based Motion Axis Control of Machine Tools

Sanqiu Liu
article en

Abstract

For the high-precision tracking performance of machine tool motion axis control, this paper establishes a system mathematical model considering the elastic deformation of ball screws, and then designs a sliding mode controller to suppress the influence of uncertainty on control performance. Next, an extended state observer was designed to observe the system state and disturbances, and feed them back to the sliding mode controller for position control. Finally, the correctness of the designed sliding mode control and extended state observer was demonstrated through MATLAB simulation analysis.

Modern management science & engineering.Vol. 6(3)
Affordable and clean energy
Openalex Percentile: Top 70%
Iterative Learning Control Systems
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Research on Disturbance Suppression Based Motion Axis Control of Machine Tools — Sanqiu Liu · Modern management science & engineering. (2024) | TGRS Research Map | TGRS