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  • 标题:An Automated Parallel Parking Strategy Using Reach Control Theory * * This research is supported by The Natural Sciences and Engineering Research Council of Canada.
  • 本地全文:下载
  • 作者:Melkior Ornik ; Miad Moarref ; Mireille E. Broucke
  • 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:9089-9094
  • DOI:10.1016/j.ifacol.2017.08.1699
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose a novel method of parallel parking using reach control theory. Reach control is a hybrid control method to achieve complex control objectives. It relies on triangulating the state space, devising a desired sequence of simplices or polytopes that a trajectory needs to pass through to complete a task, and then constructing a separate closed-loop controller on each polytope that enables the system state to move on to the next member of the sequence. For the parallel parking task, we design a state space consisting of eight polytopes, and we use an automated procedure to construct a continuous piecewise-affine controller for each polytope. Extensive simulations demonstrate the robustness of the approach: a vehicle starting from an acceptable initial position performs the maneuver safely and comes to a stop in the desired parking area.
  • 关键词:KeywordsSwitching ControlAutomated Guided VehiclesPiecewise Affine FeedbackParallel ParkingSafety Analysis
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