Adaptive integral sliding mode control for a crane system with swing-angle sensor offset

Cranes are essential for transporting heavy loads in various industries, but controlling them remains challenging due to the difficulty of suppressing payload sway. Accurate calibration of the sway angle sensor, particularly zero-point calibration, is crucial. However, previous studies have not addressed the effects of insufficient zero-point calibration, caused by residual payload sway before the feedback controller is activated. We theoretically demonstrate that such a calibration error partially acts as a constant unmatched disturbance, which conventional sliding mode control cannot compensate for. This study proposes an adaptive integral sliding mode control (AISMC) method combined with an integral-type servomechanism to address constant unmatched disturbances. Furthermore, to cope with significant uncertainty during the initial control phase and reduce chattering near the equilibrium point after the transient phase, the gain of the discontinuous control term is adjusted adaptively. The proposed method effectively handles both matched and unmatched disturbances, ensuring precise trolley positioning with suppressed payload sway. The robustness and effectiveness of the approach are verified through numerical simulations and real-world experiments.

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Publication Details

Journal
SICE Journal of Control Measurement and System Integration
Published
2025-10-16
DOI
https://doi.org/10.1080/18824889.2025.2569150
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
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article

Adaptive integral sliding mode control for a crane system with swing-angle sensor offset

Zi‐Jiang Yang, Masahiro Watanabe, Hiromu Tanigawa
SICE Journal of Control Measurement and System Integration
Dynamics and Control of Mechanical Systems
article

Adaptive integral sliding mode control for a crane system with swing-angle sensor offset

Zi‐Jiang Yang, Masahiro Watanabe, Hiromu Tanigawa
article en

Abstract

Cranes are essential for transporting heavy loads in various industries, but controlling them remains challenging due to the difficulty of suppressing payload sway. Accurate calibration of the sway angle sensor, particularly zero-point calibration, is crucial. However, previous studies have not addressed the effects of insufficient zero-point calibration, caused by residual payload sway before the feedback controller is activated. We theoretically demonstrate that such a calibration error partially acts as a constant unmatched disturbance, which conventional sliding mode control cannot compensate for. This study proposes an adaptive integral sliding mode control (AISMC) method combined with an integral-type servomechanism to address constant unmatched disturbances. Furthermore, to cope with significant uncertainty during the initial control phase and reduce chattering near the equilibrium point after the transient phase, the gain of the discontinuous control term is adjusted adaptively. The proposed method effectively handles both matched and unmatched disturbances, ensuring precise trolley positioning with suppressed payload sway. The robustness and effectiveness of the approach are verified through numerical simulations and real-world experiments.

SICE Journal of Control Measurement and System IntegrationVol. 18(1)
Ibaraki University (JP), Hitachi (Japan) (JP)
Openalex Percentile: Top 62%
Dynamics and Control of Mechanical Systems
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Adaptive integral sliding mode control for a crane system with swing-angle sensor offset — Zi‐Jiang Yang, Masahiro Watanabe, et al. · SICE Journal of Control Measurement and System Integration (2025) | TGRS Research Map | TGRS