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• W2906075414 abstract "Lifting is a frequently used offshore operation. In this paper, a nonlinear model predictive control (NMPC) scheme is proposed to overcome the sudden peak tension and snap loads in the lifting wires caused by lifting speed changes in a wind turbine blade lifting operation. The objectives are to improve installation efficiency and ensure operational safety. A simplified three-dimensional crane-wire-blade model is adopted to design the optimal control algorithm. A crane winch servo motor is controlled by the NMPC controller. The direct multiple shooting approach is applied to solve the nonlinear programming problem. High-fidelity simulations of the lifting operations are implemented based on a turbulent wind field with the MarIn and CaSADi toolkit in MATLAB. By well-tuned weighting matrices, the NMPC controller is capable of preventing snap loads and axial peak tension, while ensuring efficient lifting operation. The performance is verified through a sensitivity study, compared with a typical PD controller." @default.
• W2906075414 created "2019-01-01" @default.
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• W2906075414 date "2018-12-24" @default.
• W2906075414 modified "2023-10-06" @default.
• W2906075414 title "A Crane Overload Protection Controller for Blade Lifting Operation Based on Model Predictive Control" @default.
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• W2906075414 doi "https://doi.org/10.3390/en12010050" @default.
• W2906075414 hasPublicationYear "2018" @default.
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