Implementation of Neural Network Based V/F Control for Three Phase Induction Motor Drive with Power Factor Improvement

Abstract

In this study, we discuss about a neural system for three-phase induction-motor speed control and power factor correction. The speed control strategy consists in keeping constant voltage–frequency ratio of the induction-motor supply source. A neural-control system uses speed error and speed-error variation to change both the fundamental voltage amplitude and frequency of a sinusoidal pulse width modulation inverter. The controller performance in relation to reference and load-torque variations is considered. A high-performance single-phase AC to DC rectifier with active power factor correction technique is used for line power factor correction. Single phase supply is converted to three phase and it is fed to three phase induction motor. The proposed approach has many advantages over conventional fuzzy based induction motor speed control such as less settling time, accuracy and improved efficiency. In this approach we obtain power factor correction in single phase source. According to the simulation results, proposed method has achieved better results by suppressing speed overshoot and ripple as compared to the conventional method and able to correct speed error from load-torque variations.