Real time control of induction motor using neural network

Induction Machine being simple in operation and highly reliable equipment with low cost involving minimal maintenance requirements it has become the most popular equipment in industry. With the development of power electronic technology, low cost DSP, micro-controllers and parameter estimation techniques the induction motor an attractive component for the future high performance drives induction motors have many applications in the industries. The PWM technique which drives a Voltage Source Inverter (VSI) in order to apply v/f control is used to control a 3 ph induction motor. In industrial applications the most widely used controllers are PI controllers because of their simple structure and their capability of delivering good performance over a large band of operating condition. PI and ANN controllers have been designed and developed using MATLAB/SIMULINK. Prototype model is developed to validate the effectiveness of the PI and ANN control of induction motor drive using dSPACE DS1104 controller. The performance of the SVPWM based induction motor in open loop and closed loop is presented with simulation. Artificial Neural Network and Conventional PI controllers have been practically implemented using SVPWM based VSI fed induction motor in open loop mode. Hardware set up has been developed using Inverter and dSPACE controller. The real time performance of ANN based induction motor is presented by validating simulation results with the hardware results.