Improvement of speed profile in induction motor drive using a new idea of PWM pulses generation base on artificial neural networks

Due to simplicity and low cost، induction motors are more useful than direct current motors. Hence the control of these motors is important. The pervious methods are fitted normally for a limited speed range and could not be used for high، low and very low speeds. The voltage model is suitable for high speed because the voltage drop of stator resistance is not small in low speed. The current model is suitable for low speed because of the problems of flux saturation at high speed. This research presents a new method of PWM pulse generating in induction motors based on artificial neural networks in which، the switching pulses are generated by a multilayer feed-forward neural network that is trained by the voltage and current references. Also، for the estimation of required torque and flux information a multilayer perceptron is used. By application of this new method، there is no problem of stability at low and high speeds. The simulation results by matlab-simulink verify the proposed method in transient and steady-state operating modes.