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30365

Tuning PID Controllers Using Artificial Intelligence Techniques

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Last updated: 24 Dec 2024

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Abstract

This paper investigates PID controller tuning using genetic algorithm, modified genetic algorithm and particle swarm optimization techniques. The proposed techniques are compared to PID controllers tuned by the Ziegler-Nichols technique. Closed-loop simulations are conducted using MATLAB and the genetic algorithm toolbox for two applications, a DC-Motor and an Automatic Voltage Regulator (AVR).

DOI

10.21608/iceeng.2014.30365

Keywords

PID-controller, DC-Motor, AVR system, Genetic Algorithm, Modified Genetic Algorithm, Particle Swarm Optimization

Authors

First Name

A.

Last Name

Salem

MiddleName

A.

Affiliation

Shams Industry Company (HISENSE EGYPT).

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First Name

M.

Last Name

Mustafa

MiddleName

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Affiliation

Prof. Dr., Dept. of Electric Power and machines, Cairo University.

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Orcid

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First Name

M.

Last Name

Ammar

MiddleName

E.

Affiliation

Dr., Dept. of Electric Power and machines, Cairo University.

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Volume

9

Article Issue

9th International Conference on Electrical Engineering ICEENG 2014

Related Issue

5254

Issue Date

2014-05-01

Receive Date

2019-04-18

Publish Date

2014-05-01

Page Start

1

Page End

13

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 9_Issue 9th International Conference on Electrical Engineering ICE….pdf

PDF . 704.8kB

Link

https://iceeng.journals.ekb.eg/article_30365.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=30365

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

Tuning PID Controllers Using Artificial Intelligence Techniques

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Article

Created At

22 Jan 2023