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  • 标题:Design of Robust Control for Wind Turbine Using Quantitative Feedback Theory
  • 本地全文:下载
  • 作者:Navdeep Singh ; Bhanu Pratap ; Akhilesh Swarup
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:1
  • 页码:718-723
  • DOI:10.1016/j.ifacol.2016.03.141
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, the design of robust controller of a two-mass model of a variable speed wind turbine (VSWT) using a quantitative feedback theory (QFT) is presented. The controller is designed to satisfy minimum gain and phase margins, tracking specifications for robust performance, fast convergence, input disturbance rejection and sensor noise attenuation. The model of wind turbine is defined in QFT tool box by varying parameters and thereafter, bounds are generated. Based on these bounds, a controller and pre-filter are designed for the required specifications of robust stability and robust tracking. Additionally, a first order sliding mode controller (SMC) is designed for the purpose of comparative analysis. The simulation results on VSWT demonstrate the effectiveness of the proposed controller and pre-filter.
  • 关键词:KeywordsPre-filterquantitative feedback theoryrobust stabilitysliding mode controllertwo mass model systemvariable speed wind turbine
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