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  • 标题:Improved Model using Prediction Horizon based Corrector for Predictive Control
  • 本地全文:下载
  • 作者:Khushboo Shah ; Neeli Satyanarayana
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:1
  • 页码:848-853
  • DOI:10.1016/j.ifacol.2022.04.139
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces an improved model based on a corrector that varies according to the prediction horizon for reliable output prediction. The deviation between the plant output and output from the model is used to incorporate a new correction term in the predicted output, and a procedure for determining the control sequence in terms of current state is presented while taking constraints into account. A numerical example is used to demonstrate the improved model for prediction based control that takes into account constraints, modelling inaccuracies, and unmeasured disturbances. Voltage regulation of a photovoltaic interfaced DC-DC converter system has been presented to validate the efficacy of improved prediction-based control.
  • 关键词:KeywordsModel predictive controldiscrete-time systemslinear systems
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