Analysis and evaluation of two reference LiDAR-assisted control designs for wind turbines

Cedric D. Steinmann Perez*, Alan W.H. Lio, Fanzhong Meng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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LiDAR-assisted wind turbine control holds promise in reducing structural loads and enhancing rotor speed regulation. However, a research gap exists in the practicality and limitations of commercially available fixed-beam LiDARs for large turbines and evaluating commonly employed LiDAR-assisted feedforward approaches. This study addresses these gaps by examining the implications of utilizing fixed-beam LiDARs in two wind turbine sizes and two reference LiDAR-assisted control strategies. A comprehensive evaluation considers coherence variations, uncertainties related to inaccurate pitch angle mapping with the upcoming wind speed, and their combined impact on load reduction. Numerical simulations reveal that an excessively low cut-off frequency in the low-pass filter can compromise preview time compensation. This is problematic in larger turbines, where coherence with limited LiDAR beams is inferior compared to smaller wind turbines, which deteriorates the effectiveness of the LiDAR-assisted control. Among the reference LiDAR-assisted control methods, the evaluation indicates the Schlipf approach has greater load reduction independence, while Bossanyi’s approach, which uses measurement of current blade pitch, yields positive results with fine-tuned baseline controllers. However, allowing baseline controller-induced frequencies to propagate into the controller may increase system excitation at certain frequencies due to the use of the actual pitch angle for feedforward pitch rate calculation.
Original languageEnglish
Title of host publicationThe Science of Making Torque from Wind (TORQUE 2024): Dynamics, control, and monitoring
Number of pages10
PublisherIOP Publishing
Publication date2024
Article number032048
Publication statusPublished - 2024
EventThe Science of Making Torque from Wind (TORQUE 2024) - Florence, Italy
Duration: 29 May 202431 May 2024


ConferenceThe Science of Making Torque from Wind (TORQUE 2024)
SeriesJournal of Physics: Conference Series


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