引用本文:朱云国,张 兴,刘 淳,陈红兵.无刷双馈风力发电机的无速度传感器矢量控制技术[J].电力自动化设备,2013,33(8):
ZHU Yunguo,ZHANG Xing,LIU Chun,CHEN Hongbing.Sensorless vector control technology for brushless doubly-fed wind power generator[J].Electric Power Automation Equipment,2013,33(8):
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无刷双馈风力发电机的无速度传感器矢量控制技术
朱云国1,2, 张 兴1, 刘 淳1, 陈红兵1
1.合肥工业大学 电气与自动化工程学院,安徽 合肥 230009;2.铜陵学院 电气工程系,安徽 铜陵 244000
摘要:
为克服在无刷双馈发电机(BDFG)矢量控制系统中安装速度传感器给控制稳定性和精度带来的不良影响,提出了基于定子功率侧磁链观测的模型参考自适应转速辨识控制策略。该策略是对BDFG功率侧的定子磁链进行观测得到参考模型,再设计可调模型,利用调节两模型间的误差来估计转速。建立了MATLAB / Simulink环境下控制系统的仿真模型,仿真研究结果表明,所提出的速度自适应观测器可实现在静态和动态情况下电机速度的精确辨识和有功与无功的解耦控制,并在小功率的无刷双馈发电机平台上进行了实验,结果验证了控制方案的有效性和可行性。
关键词:  风电  无刷双馈发电机  转速  矢量控制  模型参考自适应系统  定子磁场定向
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51077034);安徽省科技厅博士生企业行科研基金资助项目(QYX2012B14)
Sensorless vector control technology for brushless doubly-fed wind power generator
ZHU Yunguo1,2, ZHANG Xing1, LIU Chun1, CHEN Hongbing1
1.College of Electrical and Automatic Engineering,Hefei University of Technology,Hefei 230009,China;2.Department of Electrical Engineering,Tongling College,Tongling 244000,China
Abstract:
A control strategy applying the model-reference adaptive speed identification is proposed to remove the bad influence of speed sensor on the control stability and accuracy of the vector control system for the BDFG(Brushless Doubly-Fed Generator),which observes the stator flux at BDFG power side to obtain the reference model and design the adjustable model,and then estimates the rotor speed by regulating the error between two models. A simulation model of control system is established with MATLAB / Simulink and the simulative results show the proposed adaptive speed observer realizes the precise speed identification in both static and dynamic conditions and the decoupled control of active and reactive powers. Experiment is carried out on a small-power BDFG platform and the experimental result verifies the feasibility and effectiveness of the proposed control strategy.
Key words:  wind power  brushless doubly-fed generator  rotor speed  vector control  model reference adaptive system  stator-flux-oriented

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