VGBL-ADRC based velocity–tension coordinated winding control for Open-Type abrasive belt rail grinding robot

Purpose Sensing constraints, strong velocity–tension (V-T) coupling, and rail-defect-induced disturbances make V-T coordinated winding control challenging for open-type abrasive-belt rail grinding robots. This paper aims to propose a tension-observer-enhanced variable-gain bi-layer active disturbance rejection control (VGBL-ADRC) framework to mitigate V-T coupling and achieve coordinated winding control under external disturbances. Design/methodology/approach The model-based tension observer reconstructs belt tension online from encoder-derived kinematics, which provides sensorless feedback and eliminates the need for dedicated tension sensors in the rail-grinding environment. Building on this, the error-dependent variable-gain bi-layer ADRC is implemented in the velocity and tension loops. Nonlinear extended state observers incorporating smooth error-driven gains, in conjunction with the corresponding variable-gain feedback laws, not only enhance the disturbance rejection capability and tracking performance but also simultaneously constrain noise amplification. Such a synergistic effect mitigates dynamic coupling between belt velocity and tension, thereby facilitating coordinated V-T winding control. Findings ADAMS–Simulink co-simulation under corrugation and localized defects shows that the belt speed fluctuation is kept within 2% and the maximum speed error is limited to 0.4%. Track experiments further demonstrate the advantage over conventional ADRC: in forward grinding, the proposed method reduces the velocity RMSE by 52.9% and the tension RMSE by 40.9%, and lowers the steady-state MAE by 71.9% in speed and 70.9% in tension. Similar improvements with consistent trends are observed in reverse grinding. Originality/value The proposed strategy provides a practical sensorless solution for disturbance-dominated, strongly coupled winding control in abrasive belt rail grinding and can be extended to other harsh industrial grinding environments.

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Publication Details

Journal
Industrial Robot the international journal of robotics research and application
Published
2026-06-18
DOI
https://doi.org/10.1108/ir-12-2025-0480
Primary Topic
Advanced Surface Polishing Techniques
Type
article
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article

VGBL-ADRC based velocity–tension coordinated winding control for Open-Type abrasive belt rail grinding robot

Lei Hao, Qi Li, Kang Xu, Qingsong Chen et al.
Industrial Robot the international journal of robotics research and application
Advanced Surface Polishing Techniques
article

VGBL-ADRC based velocity–tension coordinated winding control for Open-Type abrasive belt rail grinding robot

Lei Hao, Qi Li, Kang Xu, Qingsong Chen, J T Li, Haoze Tang, Meng Nie, Yixian Ding
article en

Abstract

Purpose Sensing constraints, strong velocity–tension (V-T) coupling, and rail-defect-induced disturbances make V-T coordinated winding control challenging for open-type abrasive-belt rail grinding robots. This paper aims to propose a tension-observer-enhanced variable-gain bi-layer active disturbance rejection control (VGBL-ADRC) framework to mitigate V-T coupling and achieve coordinated winding control under external disturbances. Design/methodology/approach The model-based tension observer reconstructs belt tension online from encoder-derived kinematics, which provides sensorless feedback and eliminates the need for dedicated tension sensors in the rail-grinding environment. Building on this, the error-dependent variable-gain bi-layer ADRC is implemented in the velocity and tension loops. Nonlinear extended state observers incorporating smooth error-driven gains, in conjunction with the corresponding variable-gain feedback laws, not only enhance the disturbance rejection capability and tracking performance but also simultaneously constrain noise amplification. Such a synergistic effect mitigates dynamic coupling between belt velocity and tension, thereby facilitating coordinated V-T winding control. Findings ADAMS–Simulink co-simulation under corrugation and localized defects shows that the belt speed fluctuation is kept within 2% and the maximum speed error is limited to 0.4%. Track experiments further demonstrate the advantage over conventional ADRC: in forward grinding, the proposed method reduces the velocity RMSE by 52.9% and the tension RMSE by 40.9%, and lowers the steady-state MAE by 71.9% in speed and 70.9% in tension. Similar improvements with consistent trends are observed in reverse grinding. Originality/value The proposed strategy provides a practical sensorless solution for disturbance-dominated, strongly coupled winding control in abrasive belt rail grinding and can be extended to other harsh industrial grinding environments.

Industrial Robot the international journal of robotics research and application
Beijing Jiaotong University (CN)
Openalex Percentile: Top 11%
Advanced Surface Polishing Techniques
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