Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine

Joint Authors

Khammar, F.
Debbache, N. E.

Source

Journal of Electrical and Computer Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-01-20

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Abstract EN

The induction machine is experiencing a growing success for two decades by gradually replacing the DC machines and synchronous in many industrial applications.

This paper is devoted to the study of advanced methods applied to the command of the asynchronous machine in order to obtain a system of control of high performance.

While the criteria for response time, overtaking, and static error can be assured by the techniques of conventional control, the criterion of robustness remains a challenge for researchers.

This criterion can be satisfied only by applying advanced techniques of command.

After mathematical modeling of the asynchronous machine, it defines the control strategies based on the orientation of the rotor flux.

The results of the different simulation tests highlight the properties of robustness of algorithms proposed and suggested to compare the different control strategies.

American Psychological Association (APA)

Khammar, F.& Debbache, N. E.. 2016. Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1108485

Modern Language Association (MLA)

Khammar, F.& Debbache, N. E.. Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1108485

American Medical Association (AMA)

Khammar, F.& Debbache, N. E.. Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1108485

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1108485