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114591

DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Neural networks and fuzzy inference systems are becoming wellrecognized tools of designing an identifier / controller capable of perceiving the operating environment and human operator with high performance. The purpose of this paper is to identify different models for a DC-servo system using the previous identification methods and linear identification methods as ARX, ARMAX and state space models. The paper compares between these methods and presents the practical results for the application these methods.

DOI

10.21608/jesaun.2007.114591

Keywords

identification, Neural network, neuro-fuzzy, DC motor

Authors

First Name

Mohamed

Last Name

M. Hassan

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt

Email

-

City

-

Orcid

-

First Name

Amer

Last Name

A. Aly

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt

Email

-

City

-

Orcid

-

First Name

Asmaa

Last Name

F. Rashwan

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt

Email

-

City

-

Orcid

-

Volume

35

Article Issue

No 6

Related Issue

16736

Issue Date

2007-11-01

Receive Date

2007-07-16

Publish Date

2007-11-01

Page Start

1,481

Page End

1,493

Print ISSN

1687-0530

Online ISSN

2356-8550

Link

https://jesaun.journals.ekb.eg/article_114591.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114591

Order

9

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

DIFFERENT IDENTIFICATION METHODS WITH APPLICATION TO A DC MOTOR

Details

Type

Article

Created At

23 Jan 2023