Fixed-time fractional-order terminal sliding mode control of linear magnetic levitation stages for CNC machine tools

A non-singular fractional-order terminal sliding mode control method based on a fixed-time extended state observer (NFTSMC-FTESO) is proposed to address the susceptibility of linear magnetic levitation platform for computer numerical control (CNC) machine tools to nonlinearities, strong coupling, and other uncertainty perturbations. First, a novel FTESO is constructed to estimate the lumped perturbation of the system and compensate it into the control law to reduce the system chattering, and the observer converges quickly and does not need to know the upper bound of the perturbation derivatives compared with the conventional ESO. Second, a novel fixed-time FTSMC is designed using fixed-time theory and fractional-order differential calculus theory to improve the dynamic tracking performance of the system by adjusting the fractional-order operator to ensure that the system variables converge to the equilibrium point more quickly. Then, the proposed composite control strategy is proved to be globally fixed-time convergent and the convergence time is independent of the initial conditions using Lyapunov functions. Finally, the proposed control strategy is applied to a linear magnetic levitation platform for CNC machine tools and the effectiveness of the proposed method is verified. Compared with the traditional SMC and the new ESO based on NTSMC (NTSMC-NESO), the proposed control strategy improves the levitation accuracy by 50% with the steady state error within 4 μ m. This method improves the machining accuracy of CNC machine tools and meets the needs of precision manufacturing.

Authors

Institutions

Publication Details

Journal
Journal of Vibration and Control
Published
2025-09-27
DOI
https://doi.org/10.1177/10775463251379111
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fixed-time fractional-order terminal sliding mode control of linear magnetic levitation stages for CNC machine tools

Haitao Li, Yiyong Wang, Cheng Wang Lei, Jian Liu et al.
Journal of Vibration and Control
Iterative Learning Control Systems
article

Fixed-time fractional-order terminal sliding mode control of linear magnetic levitation stages for CNC machine tools

Haitao Li, Yiyong Wang, Cheng Wang Lei, Jian Liu, Jingyu Wang, Lijun Jiang
article en

Abstract

A non-singular fractional-order terminal sliding mode control method based on a fixed-time extended state observer (NFTSMC-FTESO) is proposed to address the susceptibility of linear magnetic levitation platform for computer numerical control (CNC) machine tools to nonlinearities, strong coupling, and other uncertainty perturbations. First, a novel FTESO is constructed to estimate the lumped perturbation of the system and compensate it into the control law to reduce the system chattering, and the observer converges quickly and does not need to know the upper bound of the perturbation derivatives compared with the conventional ESO. Second, a novel fixed-time FTSMC is designed using fixed-time theory and fractional-order differential calculus theory to improve the dynamic tracking performance of the system by adjusting the fractional-order operator to ensure that the system variables converge to the equilibrium point more quickly. Then, the proposed composite control strategy is proved to be globally fixed-time convergent and the convergence time is independent of the initial conditions using Lyapunov functions. Finally, the proposed control strategy is applied to a linear magnetic levitation platform for CNC machine tools and the effectiveness of the proposed method is verified. Compared with the traditional SMC and the new ESO based on NTSMC (NTSMC-NESO), the proposed control strategy improves the levitation accuracy by 50% with the steady state error within 4 μ m. This method improves the machining accuracy of CNC machine tools and meets the needs of precision manufacturing.

Journal of Vibration and Control
Shandong University of Technology (CN), Shantui (China) (CN), Chinese People's Liberation Army (CN)
Openalex Percentile: Top 67%
Iterative Learning Control Systems
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.