A modified optimal asymmetric S‐curve profile for residual vibration suppression

Abstract To realize fast movement with low vibration in the precision manufacturing field, the conventional S‐curve profile assumes the elastic dynamics to be an undamped model to ensure time‐optimality. However, their vibration suppression performance will be undermined significantly when a motion system's damping coefficient is non‐negligible. To this end, a generalized residual vibration model is formulated by modeling the freeform S‐curve and the spring‐mass‐damper system to analyze the drawbacks of the conventional S‐curve profiles. Further, we propose a novel asymmetric S‐curve (AS‐curve) profile that has two structures for different optimization cases with only one extra parameter, which can reduce the complexity of parameter tuning. To obtain an optimal tradeoff between positioning efficiency and accuracy, the weighted output of residual vibration energy and total traveling time is utilized as the optimization objective of the extra parameter. The numerical simulation and experimental results verify that the proposed AS‐curve achieves better vibration suppression and robustness in under‐damped motion systems compared with the conventional S‐curve profile. Moreover, computation‐time tests on a microcontroller platform demonstrate the low computational complexity of the proposed optimization algorithm and its suitability for engineering applications.

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Publication Details

Journal
Asian Journal of Control
Published
2026-02-24
DOI
https://doi.org/10.1002/asjc.70108
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
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article

A modified optimal asymmetric S‐curve profile for residual vibration suppression

Quanxue Guan, Ying Luo, Yuxiang Wu, Yijian Su et al.
Asian Journal of Control
Dynamics and Control of Mechanical Systems
article

A modified optimal asymmetric S‐curve profile for residual vibration suppression

Quanxue Guan, Ying Luo, Yuxiang Wu, Yijian Su, Likai Zheng
article en

Abstract

Abstract To realize fast movement with low vibration in the precision manufacturing field, the conventional S‐curve profile assumes the elastic dynamics to be an undamped model to ensure time‐optimality. However, their vibration suppression performance will be undermined significantly when a motion system's damping coefficient is non‐negligible. To this end, a generalized residual vibration model is formulated by modeling the freeform S‐curve and the spring‐mass‐damper system to analyze the drawbacks of the conventional S‐curve profiles. Further, we propose a novel asymmetric S‐curve (AS‐curve) profile that has two structures for different optimization cases with only one extra parameter, which can reduce the complexity of parameter tuning. To obtain an optimal tradeoff between positioning efficiency and accuracy, the weighted output of residual vibration energy and total traveling time is utilized as the optimization objective of the extra parameter. The numerical simulation and experimental results verify that the proposed AS‐curve achieves better vibration suppression and robustness in under‐damped motion systems compared with the conventional S‐curve profile. Moreover, computation‐time tests on a microcontroller platform demonstrate the low computational complexity of the proposed optimization algorithm and its suitability for engineering applications.

Asian Journal of Control
Sun Yat-sen University (CN), Southeast University (CN), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Dynamics and Control of Mechanical Systems
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