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A COMPARATIVE STUDY OF TWO TYPESOF DTC WITH APPLICATIONOFARTIFICIAL INTELLIGENCE: FUZZYLOGIC AND NEURON NETWORK ONTHEPERFORMANCE OF A MULTI-LEVELINVERTER FED INDUCTION MACHINE

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International Journal of Research in Engineering & Technology (IMPACT: IJRET)

Volume 2, Issue 9, 2014, Pages 1-12

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

BENAOUDA Omar Fethi, BENDIABDELLAH Azzedine

Abstract: 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.

Keywords : Induction machine, 3-Levels Inverter, Direct Torque Control (DTC), DTC_FL, DTC_NN

Centre de Recherche en Technologies Industrielles - CRTI - www.crti.dz

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