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  • 标题:A dynamic programming MPC approach for automatic driving along tracks and its realization with online steering controllers
  • 本地全文:下载
  • 作者:Andreas Huber ; Matthias Gerdts
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:8686-8691
  • DOI:10.1016/j.ifacol.2017.08.1529
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper is concerned with the computation of trajectories along a given track for automatic cars using a dynamic programming approach in combination with a model predictive control strategy, which leads to a feedback control law providing a local reference trajectory In addition, the setup of a testing environment using scale RC cars is described, which allows to verify and test control strategies in realtime. Results of experiments are presented that show the ability of the online controllers to track the reference paths at a good precision.
  • 关键词:Keywordsoptimal controldynamic programmingsteering controllerRC cariGPS
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