Dynamic Sliding Mode Control based on Fuzzy Systems for Nonlinear Processes

Hanna Aboukheir, Marco Herrera, Edinzo Iglesias, Oscar Camacho

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

1 Scopus citations

Abstract

In this paper, a fuzzy dynamic sliding mode controller is developed, starting from an internal model that minimizes the effect of the time delay in the control loop and provides the information for the control law calculation; with the resulting system, a dynamic sliding mode controller is designed including a modification on the discontinuous part using a fuzzy Takagi-Sugeno approximation to minimize the control efforts and stabilization time. The proposal is evaluated on a nonlinear time-varying mixing tank.

Original languageEnglish
Title of host publicationETCM 2021 - 5th Ecuador Technical Chapters Meeting
EditorsMonica Karel Huerta, Sebastian Quevedo, Carlos Monsalve
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665441414
DOIs
StatePublished - 12 Oct 2021
Event5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021 - Cuenca, Ecuador
Duration: 12 Oct 202115 Oct 2021

Publication series

NameETCM 2021 - 5th Ecuador Technical Chapters Meeting

Conference

Conference5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021
Country/TerritoryEcuador
CityCuenca
Period12/10/2115/10/21

Keywords

  • Chemical Process
  • Dynamic Sliding Mode Controller
  • Fuzzy Systems

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