Research on Friction Compensation Feedforward Control for Linear Motors Based on the Prandtl-Ishlinskii Model

The feeding axis driven by linear motors experiences nonlinear changes in friction resistance during the feeding process, making high-precision drive control difficult. By combining modeling and experiments, the Prandtl-Ishlinskii model is applied as the representative model for the linear motor servo system. The Prandtl-Ishlinskii model of the linear motor servo system is identified using output displacement as the system feedback signal. Based on this model, a friction compensation feedforward control scheme is proposed to compensate for nonlinear friction resistance. A comparative control study with and without feedforward control uses a self-built linear motor servo drive mechanism as the experimental platform. The results indicate that the proposed feedforward control scheme significantly improves the position-tracking accuracy of the linear motor servo system, reducing the relative error from 6.8% to 1.6% while tracking a sine curve.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/icamechs63130.2024.10818733
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Research on Friction Compensation Feedforward Control for Linear Motors Based on the Prandtl-Ishlinskii Model

Xinlong Xu, Jun Yu, Yixiang Wang
1 citations
Iterative Learning Control Systems
0.33
article

Research on Friction Compensation Feedforward Control for Linear Motors Based on the Prandtl-Ishlinskii Model

Xinlong Xu, Jun Yu, Yixiang Wang
article en
1 citations

Abstract

The feeding axis driven by linear motors experiences nonlinear changes in friction resistance during the feeding process, making high-precision drive control difficult. By combining modeling and experiments, the Prandtl-Ishlinskii model is applied as the representative model for the linear motor servo system. The Prandtl-Ishlinskii model of the linear motor servo system is identified using output displacement as the system feedback signal. Based on this model, a friction compensation feedforward control scheme is proposed to compensate for nonlinear friction resistance. A comparative control study with and without feedforward control uses a self-built linear motor servo drive mechanism as the experimental platform. The results indicate that the proposed feedforward control scheme significantly improves the position-tracking accuracy of the linear motor servo system, reducing the relative error from 6.8% to 1.6% while tracking a sine curve.

Zhongyuan University of Technology (CN)
Openalex Percentile: Top 37%
Iterative Learning Control Systems
0.33
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Research on Friction Compensation Feedforward Control for Linear Motors Based on the Prandtl-Ishlinskii Model — Xinlong Xu, Jun Yu, et al. · (2024) | TGRS Research Map | TGRS