<?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%">Lamia YOUB1, Sebti BELKACEM1, Farid NACERI1, Mihai CERNAT2, Luis Guasch PESQUER3</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Design of an Adaptive Fuzzy Control Systemfor Dual Star Induction Motor Drives</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%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">www.aece.ro</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">37-44</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, a new control strategy is developed;&lt;br&gt;an adaptive fuzzy controller based on Lyapunov’s&lt;br&gt;stability theory (AFLC) recalculates the real-time PI-fuzzy&lt;br&gt;gains and combines the advantages of two robust techniques&lt;br&gt;i.e. the fuzzy logic control and the adaptive one. For the new&lt;br&gt;adaptive fuzzy control, we followed two steps: in the first one, a&lt;br&gt;PI-fuzzy controller is designed, in the second step, the gains of&lt;br&gt;a fuzzy regulator are determined. Extensive simulation results&lt;br&gt;are presented to validate the proposed technique. The system is&lt;br&gt;tested at different speeds and a very satisfactory performance&lt;br&gt;has been achieved.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record></records></xml>