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  • 标题:LPV control design based on ultra-local model for trajectory tracking problem
  • 本地全文:下载
  • 作者:Tamás Hegedűs ; Dániel Fényes ; Zoltán Szabó
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:25
  • 页码:175-180
  • DOI:10.1016/j.ifacol.2022.09.343
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractModel Free Control (MFC) is a novel technique to overcome some modeling and control challenges of highly nonlinear systems. The MFC control strategy consists of two parts, i.e., ultra-local model-based control and state feedback control. This paper proposes the robust Linear Parameter-Varying (LPV) method for design the state feedback control part of the strategy. In the design of robust LPV control the effect of the ultra-local model, formed as a disturbance, is involved. The contribution of this extension to the original concept of MFC design is that a desired performance of the closed-loop system can be achieved. The effectiveness of the presented control strategy is demonstrated through a trajectory tracking problem of autonomous vehicles using the high-fidelity simulation software, IPG CarMaker.
  • 关键词:Keywordsultra-local modeltrajectory trackingautonomous vehiclesLPV control
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