Advanced Speed Control of a Three Phase Induction Machine Based on Rotor and Stator Flux Orientation Utilizing ANNs Technique
Keywords:
Induction machine, Field Orientation, Artificial Neural Network.Abstract
This paper presents a design approach to enhance speed
estimation and control for three phase induction machine drive system
by the implementation speed sensor less field orientation technology.
A Direct Stator Flux Oriented method integrated by Artificial Neural
Network is followed to evaluate the machine speed and Indirect Rotor
Flux Oriented method with Hysteresis Band Pulse Width Modulation
is employed to for the system control. This control model allows
sinusoidal currents to drive the motor with producing less speed and
torque ripples, which minimizes the acoustic noise provides by fieldweakening operation at high and low-speeds.
Computer simulation that is using Mat lab\Simulink software
shows acceptable controlled performance results for forward and
reverses for motoring and generating operation. At the machine is
motoring, speed range of (0- ±1250 rpm) with mechanical load torque
variation up to (7 N-m) during steady state and dynamic condition.
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Copyright © 2025 by the authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). You may not alter or transform this work in any way without permission from the authors. Non-commercial use, distribution, and copying are permitted, provided that appropriate credit is given to the authors and Al-Hadba University.
