| Titre : | MRAS sensorless vector control of an induction motor using new sliding-mode and fuzzy-logic adaptation mechanisms (2010) |
| Auteurs : | Gadoue, S.M., Auteur ; Giaouris, Damian, Auteur ; Finch, J.W., Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on energy conversion (Vol. 25 N° 2, Juin 2010) |
| Article en page(s) : | pp. 394 - 402 |
| Note générale : | energy conversion |
| Langues : | Anglais |
| Tags : | fuzzy control ; induction motors ; machine vector model reference adaptive control systems ; rotors ; variable structure systems |
| Résumé : | In this paper, two novel adaptation schemes are proposed to replace the classical PI controller used in model reference adaptive speed-estimation schemes that are based on rotor flux. The first proposed adaptation scheme is based on sliding-mode theory. A new speed-estimation adaptation law is derived using Lyapunov theory to ensure estimation stability, as well as fast error dynamics. The other adaptation mechanism is based on fuzzy-logic strategy. A detailed experimental comparison between the new and conventional schemes is carried out in both open- and closed-loop sensorless modes of operation when a vector control drive is working at very low speed. Superior performance has been obtained using the new sliding-mode and fuzzy-logic adaptation mechanisms in both modes of operations. |
| En ligne : | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5357459&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A5467345%29 |
