A COMPARATIVE STUDY OF TWO TYPES OF DTC WITH APPLICATION OFARTIFICIAL INTELLIGENCE: FUZZY LOGIC AND NEURON NETWORK ON THEPERFORMANCE OF A MULTI-LEVEL INVERTER FED INDUCTION MACHINE

Auteurs :  BENAOUDA Omar Fethi, BENDIABDELLAH Azzedine
Année : 2014
Domaine : Génie électrique
Type : Article de journal
Revue : International Journal of Research in Engineering & Technology (IMPACT: IJRET)
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés : Induction machine, 3-Levels Inverter, Direct Torque Control (DTC), DTC_FL, DTC_NN

Résumé : 

We present in this paper the simulation results of the speed control of a 3 levels inverter-fed induction machine controlled by the Direct Torque Control with an application of artificial intelligence techniques both the fuzzy logic(DTC_FL) and the neural network (DTC_NN). A comparative study of these two techniques is also presented to illustrate the merits of each of the techniques on the performance of the 3-levels inverter-/induction machine set.