Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-33-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-33-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
30 Jan 2026
Research article |  | 30 Jan 2026

A data-driven dynamic modeling method for servo actuators

Baoyu Li, Xin Xie, Guangan Ren, Dapeng Fan, and Juntao He

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Short summary
The performance of servo actuators is significantly affected by factors such as friction and backlash. Simplified analytical models have difficulty meeting the increasing demands of control systems. Therefore, this study proposes a new data-driven method for modeling nonlinear factors. Through experimental verification, the newly proposed modeling method significantly improves the accuracy of nonlinear models. This achievement provides strong support for the precise control of servo actuators.
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