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  • 标题:Nonlinear Model Predictive Formation Control for Quadcopters *
  • 本地全文:下载
  • 作者:Tiago T. Ribeiro ; André G.S. Conceição ; Inkyu Sa
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:19
  • 页码:39-44
  • DOI:10.1016/j.ifacol.2015.12.007
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a Nonlinear Model Predictive Formation Control for a group of Quadcopters. In this approach the controllers are distributed to the quadcopters and the coupling is done through its objective function. The path following problem is expressed through a dynamic model of the quadcopter’s state errors relative to a Serret-Frenet frame, and the coordination problem is solved through adjustments in the robots’ speeds combined with the path update rate for each robot. A strategy based on constraints relaxing is proposed to solve the problem of high state and formation errors, factors that directly affect feasibility and stability. Simulation results considering a realistic scenario are provided to demonstrate the performance of the proposed control strategy.
  • 关键词:KeywordsUnmanned Aerial VehicleNonlinear Model Predictive Control
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