<?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%">Abderazak SAIDI1, Farid NACERI1, Lamia YOUB1, Mihai CERNAT2, Luis GUASCH PESQUER3</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Two Types of Fuzzy Logic Controllersfor the Speed Control of theDoubly-Fed Induction Machine.</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Electrical and Computer Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">65-74</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The paper presents two fuzzy logic control&lt;br&gt;algorithms: type-1 and type-2. These two nonlinear techniques&lt;br&gt;are used for adjust the speed control with a direct stator flux&lt;br&gt;orientation control of a doubly fed induction motor. The&lt;br&gt;effectiveness of the proposed control strategy is evaluated&lt;br&gt;under different operating conditions such as of reference speed&lt;br&gt;and for load torque step changes at nominal parameters and in&lt;br&gt;the presence of parameter variation (stator resistance, rotor&lt;br&gt;resistance and moment of inertia). The results of the simulation&lt;br&gt;of the doubly fed induction motor velocity control have shown&lt;br&gt;that fuzzy type-2 ensures better dynamic performances with&lt;br&gt;respect to fuzzy type-1 control, even by parametric variations&lt;br&gt;and external disturbances.&lt;br&gt;I</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record></records></xml>