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