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  • 标题:Warping NMPC for Online Generation and Tracking of Optimal Trajectories * * This research was supported by the EU via ERC-HIGHWIND (259 166), ITN-TEMPO (607 957), and ITN-AWESCO (642 682) and by DFG in context of the Research Unit FOR 2401
  • 本地全文:下载
  • 作者:Jesus Lago ; Michael Erhard ; Moritz Diehl
  • 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:13252-13257
  • DOI:10.1016/j.ifacol.2017.08.1961
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractGeneration of feasible and optimal reference trajectories is crucial in tracking Nonlinear Model Predictive Control. Especially, for stability and optimality in presence of a time varying parameter, adaptation of the tracking trajectory has to be implemented. General approaches are real-time generation of trajectories or switching between a discrete set of precomputed trajectories. In order to circumvent the operational efforts of these methods for a special type of dynamical systems, we propose time warping as an alternative approach. This algorithm implements online generation of tracking trajectories by warping a single precomputed reference. In detail, warpable systems, feasibility and optimality of trajectories and the controller implementation are discussed. Finally, as an application example, simulation results of a tethered kite system for airborne wind energy generation are presented.
  • 关键词:KeywordsPredictive controloptimal trajectoryrenewable energy systemsoptimization
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