Open access Jurnal SINTA 1
High –Performance using Neural Networks in Direct Torque Control for Asynchronous Machine
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 2 (2018)
- ISSN
- 2088-8708, 2088-8708
- Published
- 2018-04-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
This article investigates solution for the biggest problem of the Direct Torque Control on the asynchronous machine to have the high dynamic performance with very simple hysteresis control scheme. The Conventional Direct Torque Control (CDTC) suffers from some drawbacks such as high current, flux and torque ripple, as well as flux control at very low speed. In this paper, we propose an intelligent approach to improve the direct torque control of induction machine which is an artificial neural networks control. The principle, the numerical procedure and the performances of this method are presented. Simulations results show that the proposed ANN-DTC strategy effectively reduces the torque and flux ripples at low switching frequency, compared with Fuzzy Logic DTC and The Conventional DTC.
Collaboration network of the authors
19 authors · 31 co-authorship links · 13 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Université Moulay Ismail de Meknes
- Université Sultan Moulay Slimane
- Mohammed V University
- Université Ibn-Tofail
- Abdelmalek Essaâdi University
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Soufiane Oukili | Université Moulay Ismail de Meknes | 2 |
| Adil Saadi | Université Moulay Ismail de Meknes | 2 |
| Mohammed Amine Ihedrane | Université Moulay Ismail de Meknes | 1 |
| El Fadl Adiba | Université Ibn-Tofail | 1 |
| Nejwa El Maammar | Université Moulay Ismail de Meknes | 1 |
| Jaouad Foshi | Université Moulay Ismail de Meknes | 1 |
| Asmae Babaya | Université Moulay Ismail de Meknes | 1 |
| Lahbib Zenkouar | Mohammed V University | 1 |
| Mohammed Lahsaini | Université Moulay Ismail de Meknes | 1 |
| Aziz El Fatimi | Mohammed V University | 1 |
| Youssef Baala | Université Moulay Ismail de Meknes | 1 |
| Ibrahime Hassan Nejdi | Université Sultan Moulay Slimane | 1 |
| Youssef Rhazi | Université Sultan Moulay Slimane | 1 |
| Mustapha Ait Lafkih | Université Sultan Moulay Slimane | 1 |
| Mohammed Lamsalli | Abdelmalek Essaâdi University | 1 |
| Radouan Gouaamar | Université Moulay Ismail de Meknes | 1 |
| Seddik Bri | Université Moulay Ismail de Meknes | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.