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  • 标题:Multivariable Correlation-based Tuning for Load Disturbance Rejection ⁎
  • 本地全文:下载
  • 作者:Róger W.P. da Silva ; Diego Eckhard
  • 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:3977-3982
  • DOI:10.1016/j.ifacol.2020.12.2258
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn many industrial processes, the setpoint signals present few changes and variations in the output are due mainly to the disturbances that enter the closed-loop and may be understood as load disturbances. Even though this is a common problem, the response to load disturbances is a topic not well covered in the direct data-driven control literature. This work seeks to fill that gap presenting a direct data-driven method to tune a multivariable controller in order to achieve certain load disturbance response described by some reference model. This work extends a previous one dealing with the monovariable case and uses the same correlation approach employed before in the Correlation-based Tuning (CbT).
  • 关键词:KeywordsData-based controlmodel following controldisturbance rejectionlinear multivariable systemsparametric optimisation
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