Influence of parameters on control system and improved identification method of pitch motor in wind turbine generator system

被引：0
作者：
Li H. [1 ,2 ]
Xie X.-J. [1 ]
Liu X.-Z. [3 ]
Yao R. [1 ]
Chai Z.-S. [1 ,2 ]
Xia G.-S. [3 ]
机构：
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing
[2] College of Mechanical and Electrical Engineering, Shihezi University, Shihezi
[3] Chongqing KeKaiQianWei Wind Power Equipment Co., Ltd., Chongqing
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2019年 / 23卷 / 07期
关键词：
Model reference adaptive system; Parameter identification; Pitch motor; Vector control; Wind power generation;
D O I：
10.15938/j.emc.2019.07.002
中图分类号：
学科分类号：
摘要：
Uncertainties of parameters and load in pitch motor may lead to low robustness of pitch control system.Therefore,influence of motor parameters on control system was analyzed and an improved parameter identification method was presented.Firstly,based on the complex flux estimator in pitch control system,impact of motor parameters on the flux estimator were analyzed using frequency response functions (FRF),which could derive the key parameter.Secondly,based on the model reference adaptive system (MRAS),the initial value of identification was regarded as the compensation term to weaken the effect of variable motor speeds and load torques on identification result,then the improved online identification of the rotor time constant Tr and pitch control strategy considering parameter identification in wind turbine system were presented.Finally,simulation and prototype test of pitch motor control system were carried out.The result validates that Tr has a prominent impact on the pitch control system,and the improved identification model and control strategy considering online identification would be more robust. © 2019, Harbin University of Science and Technology Publication. All right reserved.
引用
收藏
页码：9 / 18
页数：9
相关论文
共 17 条
  • [1] Li H., Yang C., Zhao B., Et al., Modeling and operation performance evaluation and test of electric pitch system in wind turbine generator system, Automation of Electric Power System, 37, 11, (2013)
  • [2] Shi Y., Hou Y., Sun D., Et al., Stochastic modelling and H<sub>∞</sub> fault tolerance control of WECS, Electric Machines and Control, 19, 3, (2015)
  • [3] Yang J., Wang H., Jing Y., Et al., Imitation control strategy of grid-connected wind power system, Electric Machines and Control, 20, 3, (2016)
  • [4] Zhou J., Deng W., Design of pitch controlled system of wind turbines based on PMSM, Journal of Central South University of Forest & Technology, 31, 9, (2011)
  • [5] Li H., Yang C., Zhao B., Et al., Simulation on the operational performances of wind turbine generator system considering the variable pitch drive motor characteristics, Power System Protection and Control, 39, 18, (2011)
  • [6] Li H., Yang C., Li X., Et al., Conditions characteristic parameters mining and outlier identification for electric pitch system of wind turbine, Proceedings of the CSEE, 34, 12, (2014)
  • [7] Hwas A., Katebi R., Wind turbine control using PI pitch angle controller, IFAC Proceedings Volumes, 45, 3, (2012)
  • [8] Xiao S., Yang G., Geng H., Sliding-mode pitch control strategy for large wind turbines to reduce loads, Transactions of China Electrotechnical Society, 28, 7, (2013)
  • [9] Van T.L., Nguyen T.H., Lee D.C., Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems, IEEE Transactions on Energy Conversion, 30, 2, (2015)
  • [10] Maiti S., Chakraborty C., Hori Y., Et al., Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power, IEEE Transactions on Industrial Electronics, 55, 2, (2008)
12