Speed Estimator for Sensorless Field-Oriented Control Induction Motor Drive Using Intelligent Neural Networks

Abstract

This paper presents a novel approach to the field-oriented control (FOC) of induction motor drives. It discusses the introduction of artificial neural networks (ANNs) for decoupling control of induction motors using FOC principles. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator. Simulation results reveal some very interesting features and show that the networks have good potential for use as an alternative to the conventional field-oriented decoupling control of induction motors

Cite this Article

Hossein Rahimi Khoei. Speed Estimator for Sensorless Field-Oriented Control Induction Motor Drive Using Intelligent Neural Networks Journal of Control & Instrumentation. 2015; 6(3): 42–49p.