ALGORITHMS FOR BETTER FLUX ESTIMATION AND MODEL PREDICTIVE CONTROL OF INDUCTION MOTOR

Abstract

In this project the analysis of flux estimation algorithms is carried out and the concept of Model Predictive Current Control is implemented on Induction Motor. In any controlling scheme the estimation part is the most important as if the estimation is not correct no matter how good the controlling scheme the controlling cannot be better, in Induction Motor Vector Control the estimation of flux is done by integrating back emf, with pure integration there exist problems such as saturation and initial value problems which dominate the results when the machine is operating at low frequencies, to eliminate these problems various algorithms are implemented on the simulink MATLAB and their results are discussed. The estimated flux must follow the measured flux, the more the error between them the poor is the controlling. Model Predictive Control is a controlling algorithm which was used for process control systems, but with time because of its constraint handling technique it is implemented on drives also. A simple Predictive Current Control algorithm is implemented on the Induction Motor Drive with Direct Vector Control. The hysteresis control is replaced by the model predictive algorithm. the results are obtained with different running conditions of Induction Motor.