Fixed- Time Adaptive Neural Pitch Angle Control for Variable-Speed Wind Turbines

This paper mainly focuses on the challenging problem of fixed-time adaptive neural pitch angle control for variable-speed wind turbines. Firstly, a switching continuous fixed-time sliding mode variable is adopted to avoid the singularity problem. Then, an adaptive sigmoid function neural network is...

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Bibliographic Details
Main Authors: Xie, Shuzong, Yang, Qinmin, Li, Qingyi, Wang, Shaodong, Yang, Jun
Format: Conference Proceeding
Language:English
Subjects:
adaptive neural control
Adaptive systems
fixed-time convergence
Neural networks
pitch angle control
Simulation
Stability analysis
Switches
Variable speed wind turbines
Wind power generation
Wind speed
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Summary:This paper mainly focuses on the challenging problem of fixed-time adaptive neural pitch angle control for variable-speed wind turbines. Firstly, a switching continuous fixed-time sliding mode variable is adopted to avoid the singularity problem. Then, an adaptive sigmoid function neural network is introduced to approximate the unknown nonlinear function of wind tur-bines. On this basis, a fixed-time adaptive neural pitch angle controller is systematically developed, such that the tracking error can converge to a small neighborhood of the origin in fixed-time, thereby improving the power generation efficiency of wind turbines. Finally, the fixed-time stability of the whole closed-loop system is analyzed with rigorous theoretical proof, and the effectiveness of the proposed scheme is verified through a 1.5-MW three-blade wind turbine in Matlab/Simulink.
ISSN:2767-9861
DOI:10.1109/DDCLS61622.2024.10606570