Reduction in the Fluctuating Load on Wind Turbines by Using a Combined Nacelle Acceleration Feedback and Lidar-Based Feedforward Control

Atsushi Yamaguchi, Iman Yousefi and Takeshi Ishihara
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Atsushi Yamaguchi: Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Iman Yousefi: Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Takeshi Ishihara: Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan

Energies, 2020, vol. 13, issue 17, 1-18

Abstract: An advanced pitch controller is proposed for the load mitigation of wind turbines. This study focuses on the nacelle acceleration feedback control and lidar-based feedforward control, and discusses how these controllers contribute to reduce the load on wind turbines. The nacelle acceleration feedback control increases the damping ratio of the first mode of wind turbines, but it also increases the fluctuation in the rotor speed and thrust force, which results in the optimum gain value. The lidar-based feedforward control reduces the fluctuation in the rotor speed and the thrust force by decreasing the fluctuating wind load on the rotor, which reduces the fluctuating load on the tower. The combination of the nacelle acceleration feedback control and the lidar-based feedforward control successfully reduces both the response of the tower first mode and the fluctuation in the rotor speed at the same time.

Keywords: wind turbine control; fluctuating load reduction; nacelle acceleration feedback control; lidar-based feedforward control; combination of feedback and feedforward control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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