Adaptive Backstepping Control for Battery Pole Strip Mill Systems with Friction and Dead-Zone Input Nonlinearities

The dead-zone input and hydraulic cylinder friction of the pump-controlled automatic gauge control (AGC) system introduce significant challenges to the high-precision rolling of lithium battery pole pieces. To address these nonlinearities, this paper establishes the friction and dead-zone model of the pump-controlled AGC system, and a slide-mode observer is designed to estimate the friction state z in the LuGre model. Furthermore, an adaptive compensation method is adopted to identify the unknown parameters of the input dead-zone and friction models. Meanwhile, combined with the framework of backstepping control design, both matched and mismatched disturbances are effectively compensated. Stability analysis guarantees the convergence of the estimation errors and closed-loop signal boundedness. Finally, experimental results validate the effectiveness and robustness of the proposed control strategy.

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Publication Details

Journal
Actuators
Published
2025-12-17
DOI
https://doi.org/10.3390/act14120618
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive Backstepping Control for Battery Pole Strip Mill Systems with Friction and Dead-Zone Input Nonlinearities

Gengting Qiu, Gexin Chen, Yao Chen, Yue Hao et al.
Actuators
Iterative Learning Control Systems
article

Adaptive Backstepping Control for Battery Pole Strip Mill Systems with Friction and Dead-Zone Input Nonlinearities

Gengting Qiu, Gexin Chen, Yao Chen, Yue Hao, Guishan Yan
article en

Abstract

The dead-zone input and hydraulic cylinder friction of the pump-controlled automatic gauge control (AGC) system introduce significant challenges to the high-precision rolling of lithium battery pole pieces. To address these nonlinearities, this paper establishes the friction and dead-zone model of the pump-controlled AGC system, and a slide-mode observer is designed to estimate the friction state z in the LuGre model. Furthermore, an adaptive compensation method is adopted to identify the unknown parameters of the input dead-zone and friction models. Meanwhile, combined with the framework of backstepping control design, both matched and mismatched disturbances are effectively compensated. Stability analysis guarantees the convergence of the estimation errors and closed-loop signal boundedness. Finally, experimental results validate the effectiveness and robustness of the proposed control strategy.

ActuatorsVol. 14(12)
Yanshan University (CN), Xinjiang Institute of Engineering (CN), Shandong Iron and Steel Group (China) (CN), Sinomach (China) (CN), Shougang (China) (CN)
National Natural Science Foundation of China, Xinjiang Production and Construction Corps, Natural Science Foundation of Xinjiang
Openalex Percentile: Top 50%
Iterative Learning Control Systems
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Adaptive Backstepping Control for Battery Pole Strip Mill Systems with Friction and Dead-Zone Input Nonlinearities — Gengting Qiu, Gexin Chen, et al. · Actuators (2025) | TGRS Research Map | TGRS