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  • 标题:Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction ⁎
  • 本地全文:下载
  • 作者:Nguyen T. Hung ; F. Rego ; N. Crasta
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:29
  • 页码:348-353
  • DOI:10.1016/j.ifacol.2018.09.499
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a solution to the problem of path following control for autonomous marine vehicles (AMVs) subject to input constraints and constant ocean current disturbances. We propose two nonlinear control strategies: the first is obtained by using a Lyapunov-based design method, while the second is developed by adopting a Model Predictive Control (MPC) framework. We show that, with the proposed control strategies, the path-following error is globally asymptotically stable (GAS). Simulations with a kinematic model of the vehicle support the theoretical results. Simulations with a realistic model of the Medusa class of AMVs show the robustness of the proposed control strategies.
  • 关键词:KeywordsAMVsPath followingMPCInput constraint
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