Direct Torque Control of Induction Motor Fed by Three-Level NPC Inverter Using Fuzzy Logic and Neural Network

Abstract

multilevel voltage inverter has been receiving wide attention in research and high power applications. Compared with the traditional two-level voltage inverter, the main advantages of the multilevel inverter are a smaller output voltage step, lower harmonic components, a better electromagnetic compatibility and lower switching losses. In this paper direct torque control (DTC) is applied for three-level NPC inverter fed induction machine drives. Two control approaches using Fuzzy DTC, and Neural Network DTC are proposed and compared. The validity of the proposed control scheme is verified by simulation tests of an induction motor drive system. The stator current and voltage, flux, and torque are determined and compared in the above techniques using MATLAB-SIMULINK environment.