Failure mode of the ice sheet loading at the junction of the upward and downward breaking cones

Wang, Yihe; Hu, Xiaofei; Zhao, Ziqi; Yue, Qianjin; Xu, Ning

doi:10.1016/j.oceaneng.2014.12.018

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…Several cases and theoretical researches demonstrate that it is significant to study how to reduce the ice-induced vibrations against offshore platform. Yue et al [20] and Wang et al [21] proposed that the way of adding a tuned mass damper and installing the cones in compliant connection in the shaft to reduce the vibrations. Wang et al [22] discussed the way of adding ice-breaking cones at the water level, which will decrease the amplitude of ice loads and change the ice breaking frequency to reduce the vibrations.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Performance Analyses and Optimal Gain-Scheduling Control of Offshore Wind Turbine Under Ice Creep Loads

Song

Liu

et al. 2019

IEEE Access

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At high latitudes, offshore wind turbines often face unfavorable loads by severe ice-induced vibrations during winter season, which may endanger facilities available on the platforms and degrade operating performance of wind turbine. Hence, it is vital to analyze the influences caused by ice loads. In this paper, based on a real-time simulation model, quantifiable analyses of performance losses due to ice creep loads are firstly studied deeply. Under ice creep loads, reliable pitch control is necessary to ensure safety and high-level power-tracking capability of modern offshore wind turbine. However, uncertain influences of ice creep loads are coupled with wind turbine operation and make it a challenge for wind turbine pitch control using traditional Proportional-Integral (PI) controller from the view of industry. As a result, improved pitch control using optimal gain-scheduling strategy is proposed to alleviate impacts of ice loads where the support vector regression algorithm is adopted to represent the strong nonlinear relationship among PI parameters under different operation conditions. For each operation point, PI parameters are optimally tuned by the particle swarm optimization algorithm. Finally, the presented nonlinear optimal gain-scheduling PI (OGS-PI) controller is applied on regulating generation power and reducing tower top displacement caused by ice creep loads based on software of Fatigue, Aerodynamics, Structures, and Turbulence, a high-fidelity wind turbine simulator. Simulation results show that unfavorable influence of ice creep loads to wind turbine operation can be significantly alleviated by the OGS-PI controller, which performs much better than the traditional PI controller. INDEX TERMS Offshore wind turbine, ice loads, gain-scheduling control, optimal control, real-time.

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Section: Introductionmentioning

confidence: 99%