A Neural-Network-Based Space-Vector
PWM Controller for Voltage-Fed
Inverter Induction Motor Drive




abstract

neural-network-based implementation of
space-vector modulation (SVM) of a voltage-fed inverter has been
proposed in this paper that fully covers the undermodulation and
overmodulation regions linearly extending operation smoothly
up to square wave. A neural network has the advantage of very
fast implementation of an SVM algorithm that can increase the
converter switching frequency, pa ....etc

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submitted by:
JIN-WOO JUNG


Introduction

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Abstract
This paper proposes a generalized method for thegeneration of space vector pulsewidth modulation (SVPWM) signalsfor multilevel inverters. In the proposed method, the actualsector containing the tip of the reference space vector need notbe identified. A method is presented to identify the center of asubhexagon containing the reference space vector. Using the centerof the subhexagon, the reference space vector is mapped to theinnermost subhexagon, and the switching sequence correspondingto a two-level inverter is determined. A n ....etc

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Field Orientated Control of a Multi-Level PWM Inverter Fed Induction Motorr
abstract
This thesis presents the simulation of a Field Orientated Control of a Multi level PWM Inverter fed induction motor system and its implementation in terms of programming and code in a real time operating system. Field Orientated Control allows precise controllability and excellent transient behaviour when used to control an induction motor by manipulating the angle and amplitude of the torque and speed producing curren ....etc

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Difference between the chopper fed and converter fed drives ....etc

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Introduction to Pulse Width Modulation (PWM)
In this technique several pulses are produced in each half – cycle but the width of the pulses
is not the same as in case of multiple – pulse width modulation, however the width of each pulse is
varied in accordance with the amplitude of the sine wave reference voltage. The width of the pulse
at the center of the half – cycle is maximum and decreases on either side. The figure 6(a) shows the
generation of the output signal by comparing a sinusoidal reference sign ....etc

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Dynamic Fuzzy-Neural Network Controller
for Induction Motor Drive

M. Zerikat, M. Bendjebbar and N. Benouzza

Abstract
In this paper, a novel approach for robust trajectory tracking of induction motor drive is presented. By combining variable structure systems theory with fuzzy logic concept and neural network techniques, a new algorithm is developed. Fuzzy logic was used for the adaptation of the learning algorithm to improve the robustness of learning and operating of ....etc

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