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In Silico Comparison for Smith Predictors Applied to Processes with Elevated Delay and Noise Effects

  • Escuela Politecnica Nacional

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents an analysis and comparison of the Filtered Predictive Proportional and Integral controller and the control schemes of two degrees of freedom of Zhang et al. and Mejía et al. when the sensor signal has noise and when it has no noise. These control schemes are tuned by different optimization algorithms and tested in a chemical process that presents a dominant time delay. Controller performance is measured using integral square error, total variations of control efforts, maximum overshoot, and settling time. The results show that control schemes compensate for the dominant time delays but are affected when the sensor signal has noise.

Original languageEnglish
Title of host publicationRecent Advances in Electrical Engineering, Electronics and Energy - Proceedings of the CIT 2020
EditorsMiguel Botto Tobar, Henry Cruz, Angela Díaz Cadena
PublisherSpringer Science and Business Media Deutschland GmbH
Pages196-210
Number of pages15
ISBN (Print)9783030722074
DOIs
StatePublished - 2021
Externally publishedYes
Event15th Multidisciplinary International Congress on Science and Technology, CIT 2020 - Quito, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume762 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference15th Multidisciplinary International Congress on Science and Technology, CIT 2020
Country/TerritoryEcuador
CityQuito
Period26/10/2030/10/20

Keywords

  • Integral square error
  • Noise
  • Optimization algorithms
  • Smith predictor
  • Time delay
  • Two degrees of freedom scheme

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