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123589

Comparative Analysis Methods of Direct Torque Control for Induction Motor.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Computer Engineering and Systems

Abstract

In this article we propose two approaches to improve the direct torque control (DTC) of an aduction motor (IM) such as fuzzy logic (FL) and artificial neural network (ANN), applied in witching select voltage vector. Slaulation results of two approaches compared with those of muveantional direct torque control (DTC). The comparison results of the (FL_DTC) and (ANN DTC) illustrate the reduction in the torque and stator flux ripples. The validity of the proposed methods is confirmed by the simulative results. The two approaches are explained in clear details 
which are designed using SIMULINK vader Matlab Ver.7.7 software package. Also, MATLAB2008/FUZZY toolbox is used to implement the fuzzy logic coptroller. Both systems are lawlated under the same conditions

DOI

10.21608/bfemu.2020.123589

Keywords

Artificial Neural network (ANN), Direct torque control, Furry logic, Induction motor, witching table, three phase inverter

Authors

First Name

Fayez

Last Name

Areed

MiddleName

G.

Affiliation

Professor of Computer & Systems Department., Faculty of Engineering., El-Mansoura University, Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Amira

Last Name

Haikal

MiddleName

-

Affiliation

Assistant Professor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt

Email

amirayh@gmail.com

City

Mansoura

Orcid

-

First Name

Reham

Last Name

Mohammed

MiddleName

-

Affiliation

Instructor., Computer & Systems Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

35

Article Issue

1

Related Issue

17860

Issue Date

2010-03-01

Receive Date

2010-01-11

Publish Date

2020-11-17

Page Start

43

Page End

52

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_123589.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=123589

Order

9

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023