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23430

Optimal Position Control of Permanent Magnet DC Motor (PMDC)

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Last updated: 24 Dec 2024

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Abstract

This paper presents a comparative study of position control for Permanent Magnet DC motor (PMDC). A comparison between the Proportional-Integral-Derivative (PID) controller tuned using Particle Swarm Optimization technique (PIDPSO), and using Genetic Algorithm technique (PID-GA) has been introduced. The proposed strategy is intended to improve the performance of conventional PID controller by using different optimization techniques and selecting the best one. The MATLAB/SIMULINK toolbox is used to model and simulate the PMDC Motor accurately, since the model of modest accuracy cannot be expected to give fair comparison of different controllers. The performance of both controllers is evaluated to explain the main characteristics of each one.

DOI

10.21608/asat.2011.23430

Keywords

Permanent magnet DC Motor (PMDC), Proportional-Integral-Derivative (PID) controller, Genetic algorithm (GA), Particle Swarm Optimization Technique (PSO)

Authors

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Abd El Ghaffar

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S.

Affiliation

Egyptian Armed Force, Egypt.

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A.

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El-Wakeel

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S.

Affiliation

Egyptian Armed Force, Egypt.

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First Name

A.

Last Name

Eliwa

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Affiliation

Egyptian Armed Force, Egypt.

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First Name

R.

Last Name

Mostafa

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M.

Affiliation

Beni–Suif University, Egypt.

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Volume

14

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011

Related Issue

4330

Issue Date

2011-05-01

Receive Date

2019-01-02

Publish Date

2011-05-01

Page Start

1

Page End

10

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23430.html

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https://asat.journals.ekb.eg/service?article_code=23430

Order

113

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Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Optimal Position Control of Permanent Magnet DC Motor (PMDC)

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Article

Created At

22 Jan 2023