Individual Pitch Control of Wind Turbine System by Estimating Wind Speed Using Pitching Moment
Author:
Affiliation:
1. Keio University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering
Link
https://www.jstage.jst.go.jp/article/ieejjia/12/5/12_23000261/_pdf
Reference24 articles.
1. (1) GWEC: Global wind report 2022 (2022)
2. (2) H. Badihi, Y. Zhang, P. Pillay, and S. Rakheja: “Fault-tolerant individual pitch control for load mitigation in wind turbines with actuator faults”, IEEE Transactions on Industrial Electronics, Vol. 68, No. 1, pp. 532-543 (2021)
3. (3) Z. Liu, F. Huo, S. Xiao, X. Zhang, S. Zhu, G. Ji, H. Dai, and J. Feng: “Individual pitch control of wind turbine based on rbf neural network”, In 2016 35th Chinese Control Conference (CCC), pp. 5769-5773 (2016)
4. (4) J. Li, S. Wang, Z. Hou, and J. Zhao: “Multivariable model-free adaptive controller design with differential characteristic for load reduction of wind turbines”, IEEE Transactions on Energy Conversion, Vol. 37, No. 2, pp. 1106-1114 (2022)
5. (5) Z. Civelek, M. Lüy, E. Çam, and H. Mamur: “A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation”, Renewable Energy, Vol. 111, pp. 708-717 (2017)
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