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  • 标题:Extremum seeking control based on the super-twisting algorithm ⁎
  • 本地全文:下载
  • 作者:Ixbalank Torres ; Fernando López-Caamal ; Héctor Hernández-Escoto
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:1621-1626
  • DOI:10.1016/j.ifacol.2020.12.2211
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis article addresses the problem of extremum seeking of a continuous-time dynamical system with a single input and a single output. First, a super-twisting-based gradient-based optimization algorithm is proposed to compute the input that leads to the extremum value of an unknown, convex objective function. Since the algorithm requires the input-output gradient of the system’s response, a super-twisting based differentiator is proposed to compute the gradient using the measured output and the controlled input. Feasibility of the extremum seeking controller is demonstrated via closed-loop simulations over a microalgae production photobioreactor.
  • 关键词:KeywordsExtremum seeking controlsliding modessuper-twisting algorithmdifferentiatorsprocess control
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