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  • 标题:A data-driven approach to MIMO PID tuning via LMI constraints
  • 本地全文:下载
  • 作者:Anna Paula V de A Aguiar ; George Acioli ; Péricles R Barros
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:20
  • 页码:573-578
  • DOI:10.1016/j.ifacol.2021.11.233
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a multi-input multi-output proportional integral derivative controller tuning technique using frequency-domain data is proposed. The problem is formulated using loop shaping performance specifications and the bounds on the control signal magnitude as constraints. The result is a convex-concave optimization problem. This is convexified by linearization of the concave part. The problem is solved using some LMI solver. Simulation results show the effectiveness of the proposed technique.
  • 关键词:KeywordsMIMO PIDcontroller designdata-driven controlconvex optimizationlinear matrix inequalities
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