Raja Mohd Taufika, Raja Ismail and That, Nguyen D. and Ha, Q. P. (2015) Modelling and Robust Trajectory Following for Offshore Container Crane Systems. Automation in Construction, 59. pp. 179-187. ISSN 0926-5805. (Published)
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Abstract
In stevedoring operations, the ship-to-ship transfer of containers in open-sea is becoming an alternative way to avoid port congestion and subsequently can increase port efficiency. This process involves a large container ship or a barge, equipped with a crane, and a smaller vessel which transports containers between the ship and the harbour. However, the harsh open-sea conditions can produce exogenous disturbances to the crane system during the load transfer. Besides, the uncertainties and disturbances in the crane system may degrade the control performance. Hence, one of the requirements of offshore container cranes is to enhance robustness of the crane control system. This paper addresses the problem of robust sliding mode control for offshore container crane systems subject to bounded disturbances and uncertainties. The mathematical model of the control plant is first derived whereas the effects of ocean waves and strong winds are taken into account. Then, a robust sliding mode controller is proposed to track an optimal trajectory of the crane system during load transfer. Extensive simulation results are given to show that the proposed controller can significantly suppress the effects of disturbances from the vessel's wave- and wind-induced motion.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sliding mode control; Offshore crane; Ocean wave; Strong wind; Lyapunov; Linear quadratic regulator (LQR) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 30 Nov 2015 04:07 |
| Last Modified: | 19 Mar 2018 04:07 |
| URI: | http://umpir.ump.edu.my/id/eprint/10495 |
| Download Statistic: | View Download Statistics |
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