A self-coupling proportion differential control method for vibration suppression-based wind turbine system
Blade tip breakage, root breakage, and even wind turbine damage caused by wind blade vibration are the major problems that are faced by the promotion of wind power generation. For the vibration problem of a large wind turbine blade system, the mathematical model of an intelligent flexible blade is e...
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Published in | Sustainable energy technologies and assessments Vol. 68; p. 103831 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Blade tip breakage, root breakage, and even wind turbine damage caused by wind blade vibration are the major problems that are faced by the promotion of wind power generation. For the vibration problem of a large wind turbine blade system, the mathematical model of an intelligent flexible blade is established, the outer ring virtual displacement and inner ring torsion angle double closed-loop system is constructed, and the self-coupling Proportion Differential controller is designed based on the self-coupling Proportion Integration Differential control method. It has a simple structure and is easier to tune parameters than other traditional control methods. In addition, the method equates any complex nonlinear system to a linear perturbation system through the definition of total perturbation, which greatly reduces the dependence on the model. MATLAB/Simulink simulation results show that the proposed self-coupling Proportion Integration Differential control method can realize the chatter control of the wind turbine blades, the response time is shortened by 0.7 s and the recovery stabilization time is reduced by 0.5 s compared with the IMPC adaptive Proportion Integration Differential combination control under the same wind condition. The recovery stabilization time is accelerated by 1 s, and the maximum torsion angle is reduced by 14 %. |
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ISSN: | 2213-1388 |
DOI: | 10.1016/j.seta.2024.103831 |