<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benlaloui, Idriss</style></author><author><style face="normal" font="default" size="100%">CHRIFI-ALAOUI, Larbi</style></author><author><style face="normal" font="default" size="100%">Ouriagli, Mohammed</style></author><author><style face="normal" font="default" size="100%">Khemis, Abderrahmane</style></author><author><style face="normal" font="default" size="100%">Khamari, Dalila</style></author><author><style face="normal" font="default" size="100%">Said Drid</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improvement of the induction motor sensorless control based on the type-2 fuzzy logic</style></title><secondary-title><style face="normal" font="default" size="100%">Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/article/10.1007/s00202-020-01178-1</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">103</style></volume><pages><style face="normal" font="default" size="100%">1473-1482</style></pages><isbn><style face="normal" font="default" size="100%">1432-0487</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	This paper presents MRAS speed sensorless control of induction motor using type-2 fuzzy logic controller (T2FLC). These controllers replace the PI ones, in the new MRAS strategy proposed in Benlaloui et al. (IEEE Trans Energy Convers 30(2):588–595, 2015), in order to improve the induction motor performances and robustness at low speed region. Indeed, the choice of these controllers is made because of their adaptation-based schemes which permit to handle nonlinear uncertain systems without the need of precise mathematical model required when using PI controllers. Comparative study had shown a better rejection of disturbance and high insensitivity to stator resistance compared to the PI and the T1FLC controllers. The effectiveness of the proposed speed-based T2FLC estimation method and its good robustness are validated by simulation and by experimental results.
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