Aeroelastic stability analysis and optimal PID control strategy simulation for large-scale HAWT blades

Aiming at the classical flutter problem of wind turbine blades, a wind turbine blade aeroelastic model is constructed based on the typical leaf cross-section model of spring-mass-damper and the classical flutter aerodynamic model. The stability analysis of the wind turbine aeroelastic model is carried out using the Liapunov indirect method, and the effects of different parameters on stability are compared. Combining the aeroelastic model with the second-order model of pitch exciter, the pitch aeroelastic equation of the system is given, and the system controllability is analyzed. The optimal PID pitch control is designed, and the Simulink simulation is performed to explore the optimal combination under different combinations by selecting the torsion angle and waving displacement as the error signals, and different combinations of the torsion angle, waving displacement, and pitch angle as the optimal control objectives, respectively. The simulation results show that when the torsional angle is used as the error feedback signal and the torsional angle is set as the optimal control objective, it is the only scenario without overshoot. The overshoot in other cases ranges from 30 % to 500 %. In terms of adjustment time, this scenario also demonstrates good performance. Although it is not the fastest, the gap from the fastest is no more than 20 %. Therefore, using the torsional angle as the error feedback signal and the torsional angle as the optimal control objective is the best choice.

Authors

Publication Details

Journal
Journal of Vibroengineering
Published
2025-09-03
DOI
https://doi.org/10.21595/jve.2025.24932
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Aeroelastic stability analysis and optimal PID control strategy simulation for large-scale HAWT blades

Qinghu Cui, Tingrui Liu, Dan Ding
Journal of Vibroengineering
Computational Fluid Dynamics and Aerodynamics
article

Aeroelastic stability analysis and optimal PID control strategy simulation for large-scale HAWT blades

Qinghu Cui, Tingrui Liu, Dan Ding
article en

Abstract

Aiming at the classical flutter problem of wind turbine blades, a wind turbine blade aeroelastic model is constructed based on the typical leaf cross-section model of spring-mass-damper and the classical flutter aerodynamic model. The stability analysis of the wind turbine aeroelastic model is carried out using the Liapunov indirect method, and the effects of different parameters on stability are compared. Combining the aeroelastic model with the second-order model of pitch exciter, the pitch aeroelastic equation of the system is given, and the system controllability is analyzed. The optimal PID pitch control is designed, and the Simulink simulation is performed to explore the optimal combination under different combinations by selecting the torsion angle and waving displacement as the error signals, and different combinations of the torsion angle, waving displacement, and pitch angle as the optimal control objectives, respectively. The simulation results show that when the torsional angle is used as the error feedback signal and the torsional angle is set as the optimal control objective, it is the only scenario without overshoot. The overshoot in other cases ranges from 30 % to 500 %. In terms of adjustment time, this scenario also demonstrates good performance. Although it is not the fastest, the gap from the fastest is no more than 20 %. Therefore, using the torsional angle as the error feedback signal and the torsional angle as the optimal control objective is the best choice.

Journal of VibroengineeringVol. 27(7)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 75%
Computational Fluid Dynamics and Aerodynamics
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Aeroelastic stability analysis and optimal PID control strategy simulation for large-scale HAWT blades — Qinghu Cui, Tingrui Liu, et al. · Journal of Vibroengineering (2025) | TGRS Research Map | TGRS