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Fractional Order and Smith Predictor Structure - Performance Analysis for Pressure Control Process

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

Abstract

There is the extensive usage of traditional integer order proportional-integral-derivative (PID) control methods in industrial control systems. Recently, there is a more focus on the researcher to explore the fractional order control method. Increased flexibility in designing of control system considering its derivative and integral terms can be provided by fractional order controller. The present study discusses the fractional-order control method's performance augmented by a Smith predictor structure for a first-order plus dead time (FOPDT) process. The performance of the controller was studied using a pilot pressure control plant under fractional order, integer order, and fractional order with a Smith predictor structure. The performance of each type is studied for the proposed process through simulation. The findings indicated better performance of fractional-order controllers with the Smith predictor structure.

Original languageEnglish
Title of host publication2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages700-704
Number of pages5
ISBN (Electronic)9798350332568
DOIs
StatePublished - 2023
Event20th International Multi-Conference on Systems, Signals and Devices, SSD 2023 - Mahdia, Tunisia
Duration: 20 Feb 202323 Feb 2023

Publication series

Name2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023

Conference

Conference20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
Country/TerritoryTunisia
CityMahdia
Period20/02/2323/02/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Differential Calculus
  • Fractional Integral
  • Fractional Order
  • Pressure Control
  • Smith Predictor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Health Informatics
  • Instrumentation

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