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Controlling DC Motor Speed with FoPID-Controllers

  • Zarqa University
  • Al-Zaytoonah University of Jordan
  • University of Business and Technology
  • University of Jordan

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

1 Scopus citations

Abstract

This work aims to propose several designs for controlling the direct-current motor (or simply DC motor) speed. Such motor is broadly used in numerous applications like blowers, lathe machines, cranes, elevators, milling machines, fans, drilling rigs, etc. To achieve our aim, the DC motor model will be first fractionalized and then the so-called Particle Swarm Optimization (PSO) algorithm will be executed to adjust the proposed controllers' parameters. This actually would be performed to the resultant fractional-order transfer function. Accordingly, several Fractional-order PID controllers (FoPID-controllers) will be formulated in agreement with the Outstaloup approach, which is typically used to approximate the yielded Laplacian operators s±α, where 0 < α < 1. The controllers generated in accordance with different values of fractional-order values will be then competed to each other to outline which of them has an ability to provide to the closed-loop system of the DC motor speed model a minimal overshoot, short settling time and short rise time.

Original languageEnglish
Title of host publication2024 25th International Arab Conference on Information Technology, ACIT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331540012
DOIs
StatePublished - 2024
Event25th International Arab Conference on Information Technology, ACIT 2024 - Zarqa, Jordan
Duration: 10 Dec 202412 Dec 2024

Publication series

Name2024 25th International Arab Conference on Information Technology, ACIT 2024

Conference

Conference25th International Arab Conference on Information Technology, ACIT 2024
Country/TerritoryJordan
CityZarqa
Period10/12/2412/12/24

Keywords

  • DC motor speed model
  • FoPID-controller
  • Laplacian operator
  • oustaloup approximation
  • particle swarm optimization

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