A Comparison Between LIDAR-Based Feedforward and DAC for Control of Wind Turbines

Khaniki, Mohammad Salari; Schlipf, David; Cheng, Po Wen

doi:10.1109/ccta.2018.8511422

Cited by 4 publications

(1 citation statement)

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“…Scholbrock et al (2016) believed that by introducing this input quantity, the controller control performance could be optimized, and it might also reduce the load of the wind turbine and increase the power generation of the wind turbine. Khaniki et al (2018) found that LiDAR-assisted feedforward control was better than pseudo-feedforward control. In summary, the collective pitch control technology based on the LiDAR wind measurement can be considered to reduce speed fluctuations and structural loads in the full-load area of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Incremental feedforward collective pitch control method for wind turbines

Wang,

Du,

Chen

et al. 2023

Front. Energy Res.

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In recent years, wind turbines are becoming larger, which will exacerbate the complexity of loads Complex load change affect the output power quality and wind turbine service life so that must be studied. Pitch control is usually used to reduce wind turbine load. In this paper, based on the Light Detection and Ranging (LiDAR) technology and incremental feedforward control theory, an incremental feedforward collective pitch controller is proposed. The controller can be directly superimposed on the traditional collective pitch controller so that the incremental pitch angle can fully compensate wind influence. The effectiveness of the controller is verified by multi-software platform joint simulation and hardware-in-the-loop experiment. The results show that the controller can effectively reduce the wind turbine power and load fluctuation when the variation trend of wind speed in the rotor plane estimate by LiDAR data is the same as the actual wind speed.

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Section: Introductionmentioning

confidence: 99%