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Contribution à la commande de la machine asynchrone, utilisation de la logique floue, des réseaux de neurones et des algorithmes génétiques

Abstract : Genetic algorithms, fuzzy logic and neural networks are increasingly used in greatly varied applications. We propose to study them for the identification and the control of the induction motor. More particularly, we use the genetic algorithms in order to identify the parameters of the transient model of the machine. Controllers, based on fuzzy logic and neural networks, are implemented within a rotor-flux oriented control scheme. The influence of variation of the parameters on the operation of the system is also investigated. Faulty induction machines are considered in the case of rotor broken bars. The diagnosis of these defects and their influence on the behaviour of the control are studied. Lastly, an improvement of the mechanical-sensorless vector control is presented opening a new way towards "intelligent control". Thanks to the ever increasing power of processors, such techniques can be used to replace the sensor. A simulation tool elaborated along with the thesis made it possible to develop the studies presented here. Particular care was devoted to the experimental side, the only guarantee of the feasibility and validation of the study.
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Contributor : Lotfi Baghli <>
Submitted on : Thursday, January 29, 2009 - 9:47:34 AM
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Lotfi Baghli. Contribution à la commande de la machine asynchrone, utilisation de la logique floue, des réseaux de neurones et des algorithmes génétiques. Energie électrique. Université Henri Poincaré - Nancy I, 1999. Français. ⟨tel-00356891⟩

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