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Vibration control in wind turbines to achieve desired system-level performance under single and multiple hazard loadings

机译:风力涡轮机中的振动控制,可在单次和多次危险负载下实现理想的系统级性能

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The increased demand in energy and the need for sustainable and renewable sources of electricity in hazardous environments with significantly growing population yields the installation of more wind turbines in these areas. In addition, the technological development in material and construction methods has led to the building of taller and more flexible turbines, with inherent low structural damping. Installing modern wind turbines in offshore harsh environments or seismic prone areas can cause an increment in the probability of failure due to excessive vibrations. The current study evaluates the performance of onshore and offshore wind turbines under multihazard loads, including wind, wave, earthquake, and mass and aerodynamic imbalances for both parked and operating conditions. The Lagrangian approach is employed to model the wind turbine considering the blade/tower coupling. In order to lessen the vibrations induced by multihazard loads, external smart dampers are used and a novel energy-based probabilistic approach is employed to tune the semiactive controllers. The results show the effectiveness of employing an analytical approach for the design of semiactive controllers in vibration mitigation of a wind turbine subjected to multiple hazards.
机译:在人口急剧增长的危险环境中,能源需求的增长以及对可持续和可再生能源的需求,导致在这些地区安装更多的风力涡轮机。此外,材料和构造方法的技术发展导致建造了更高,更灵活的涡轮,固有的结构阻尼低。在海上恶劣环境或地震多发地区安装现代风力涡轮机可能会导致由于过度振动而导致故障的可能性增加。当前的研究评估了陆上和海上风力涡轮机在多危险负载下的性能,包括风,浪,地震以及在停车和运行条件下的质量和空气动力失衡。考虑叶片/塔架耦合,采用拉格朗日方法对风力涡轮机进行建模。为了减轻多危​​害负载引起的振动,使用了外部智能阻尼器,并且采用了一种基于能量的新颖概率方法来对半主动控制器进行调节。结果表明,采用分析方法设计半主动控制器可有效缓解遭受多种危害的风力涡轮机的振动。

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