重庆大学学报2025，Vol.48Issue(9)：37-49,13.DOI:10.11835/j.issn.1000-582X.2024.220
双馈风机宽频受迫扭振抑制的模型参考自适应控制方法
Model reference adaptive control method for wideband forced torsional vibration suppression in doubly-fed wind turbines
摘要
Abstract
Under turbulent wind excitation,the drive chain of the shaft system in doubly-fed wind power generation systems experiences wideband forced torsional vibrations in the low-frequency range,compromising the stable operation of the turbine.To address this issue,a model reference adaptive control(MRAC)method for torsional vibration suppression is proposed.A wideband forced torsional vibration model is established,incorporating optimal torque control and bandpass filter parameters.To overcome the challenge of unmeasurable transmission chain state variables,a feedforward controller and an adaptive control law are designed based on system inputs and outputs.The bandpass filter parameters are adaptively adjusted to provide active damping,enabling the transmission chain's dynamic response to track a stable reference model.Using a 1.5 MW doubly-fed wind power generation system as a case study,the effectiveness of MRAC is validated through simulations under sustained turbulent wind conditions.The torsional vibration suppression performance of the MRAC method is compared with that of the electrical damping reshaping method.Results show that the proposed MRAC method achieves stable tracking of the controlled object,with an average tracking error not exceeding 4.94%.Compared to the electrical damping reshaping method,MRAC improves wideband torsional vibration suppression by 21.77%,and significantly reduces fluctuations in both shaft torque and generator active power output.关键词
双馈风力发电系统/轴系传动链/宽频受迫扭振/模型参考自适应控制/扭振抑制Key words
doubly-fed wind power generation system/shaft system transmission chain/wideband forced torsion/model reference adaptive control/torsional vibration suppression分类
信息技术与安全科学引用本文复制引用
王晓兰,李朝辉..双馈风机宽频受迫扭振抑制的模型参考自适应控制方法[J].重庆大学学报,2025,48(9):37-49,13.基金项目
国家自然科学基金资助项目(61963024).Supported by National Science Foundation of China(61963024). （61963024）
