Beta
ManageSearchChatDiscover
30369

Tuning PID Controllers Using Artificial Intelligence Techniques.

Article

Last updated: 24 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

-

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.2014.30369

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).

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Moustafa

MiddleName

A.

Affiliation

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

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Ammar

MiddleName

E.

Affiliation

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

Email

-

City

-

Orcid

-

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

Link

https://iceeng.journals.ekb.eg/article_30369.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=30369

Order

15

Type

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.

Details

Type

Article

Created At

22 Jan 2023