刘兴华, 敬维, 林威. GH Bladed和Matlab的交互软件设计及风力发电机的独立变桨控制器仿真研究[J]. 中国电机工程学报, 2013, 33(22): 83-88,14. DOI: 10.13334/j.0258-8013.pcsee.2013.22.003
引用本文: 刘兴华, 敬维, 林威. GH Bladed和Matlab的交互软件设计及风力发电机的独立变桨控制器仿真研究[J]. 中国电机工程学报, 2013, 33(22): 83-88,14. DOI: 10.13334/j.0258-8013.pcsee.2013.22.003
LIU Xing-hua, JING Wei, LIN Wei. Interactive Software Platform Design Based on GH Bladed and Matlab With Simulation Study of Individual Pitch Controller of Wind Turbine[J]. Proceedings of the CSEE, 2013, 33(22): 83-88,14. DOI: 10.13334/j.0258-8013.pcsee.2013.22.003
Citation: LIU Xing-hua, JING Wei, LIN Wei. Interactive Software Platform Design Based on GH Bladed and Matlab With Simulation Study of Individual Pitch Controller of Wind Turbine[J]. Proceedings of the CSEE, 2013, 33(22): 83-88,14. DOI: 10.13334/j.0258-8013.pcsee.2013.22.003

GH Bladed和Matlab的交互软件设计及风力发电机的独立变桨控制器仿真研究

Interactive Software Platform Design Based on GH Bladed and Matlab With Simulation Study of Individual Pitch Controller of Wind Turbine

  • 摘要: 在风力发电机的设计过程中,设计人员常需借助于一些专业的风力机设计软件,如GH Bladed等。GH Bladed是一款工业级的风力机设计仿真软件,它具备了一些基本的风力机设计和验证工具,但是还不是十分全面,它的外部控制器的编写也不方便。利用命名管道技术、Matlab Engine技术设计出交互软件,使得GH Bladed和Matlab能够同步对风力发电机进行仿真,进一步扩展了GH Bladed的分析功能,方便了外部控制器的设计。利用已设计的交互软件进行了独立变桨控制器的设计和验证,并利用Matlab对独立变桨控制前后桨叶根部弯矩负载进行了分析,仿真结果表明该减振控制策略可以有效的减弱振动中的1P分量。控制策略的仿真实现过程也表明利用软件平台可以快速实现相应的控制算法,同时可降低数据分析的难度。

     

    Abstract: GH Bladed is one of the most popular software for wind turbine modeling,designing and simulating and has found wide applications.However,in contrast to Matlab/Simulink,it is inefficient in controller design and data analysis.In this paper,based on the named pipe,an interactive software platform was developed to realize the rapid switch from GH Bladed to Matlab/Simulink and make the two software do the simulations on wind turbine control strategies at the same time,and an individual pitch controller was designed to reduce the root flapwise momentum of blades.Simulation result shows that the 1P component of the vibration is reduced.Furthermore,the simulation demonstrates the effectiveness of the software platform in implementing the control algorithm rapidly and simultaneously reducing the complexity of the data analysis.

     

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