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Article

Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances

1
Institute for Future, School of Automation, Qingdao University, Qingdao 266071, China
2
Department of Mechatronics, Ho Chi Minh City University of Technology, Ho Chi Minh City 700000, Vietnam
3
Institute for Industrial Artificial Intelligence, School of Mechanical Engineering, Pusan National University, Busan 46241, Republic of Korea
*
Author to whom correspondence should be addressed.
Machines 2026, 14(1), 13; https://doi.org/10.3390/machines14010013 (registering DOI)
Submission received: 17 November 2025 / Revised: 17 December 2025 / Accepted: 17 December 2025 / Published: 20 December 2025
(This article belongs to the Special Issue Advances in Dynamics and Vibration Control in Mechanical Engineering)

Abstract

This paper develops accurate three-dimensional trajectory tracking and anti-sway control strategies for offshore container cranes operating in an open-sea environment. A 5-DOF nonlinear dynamic model is developed that simultaneously accounts for the crane’s structural motion, trolley movement, spreader hoisting with variable rope length, and both lateral and longitudinal payload sway. The model further incorporates external disturbances induced by wave-excited ship motions. To ensure smooth, efficient, and accurate load transportation from the initial to the target position, an effective trajectory-planning scheme is proposed using a quintic polynomial trajectory refined by a ZVD shaper to suppress residual oscillations. A sliding mode control method is then designed to achieve accurate trajectory tracking and load-sway suppression under external disturbances. Numerical simulations demonstrate that the proposed trajectory planning method effectively reduces the residual oscillations and verifies the effectiveness and robustness of the proposed sliding mode control strategy.
Keywords: trajectory planning; anti-sway control; sliding mode control; quintic polynomial; input shaping; offshore container crane trajectory planning; anti-sway control; sliding mode control; quintic polynomial; input shaping; offshore container crane

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MDPI and ACS Style

Li, A.; Li, S.; Pham, P.-T.; Hong, K.-S. Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances. Machines 2026, 14, 13. https://doi.org/10.3390/machines14010013

AMA Style

Li A, Li S, Pham P-T, Hong K-S. Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances. Machines. 2026; 14(1):13. https://doi.org/10.3390/machines14010013

Chicago/Turabian Style

Li, Ao, Shuzhen Li, Phuong-Tung Pham, and Keum-Shik Hong. 2026. "Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances" Machines 14, no. 1: 13. https://doi.org/10.3390/machines14010013

APA Style

Li, A., Li, S., Pham, P.-T., & Hong, K.-S. (2026). Robust Control of Offshore Container Cranes: 3D Trajectory Tracking Under Marine Disturbances. Machines, 14(1), 13. https://doi.org/10.3390/machines14010013

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