Implementation of field-oriented control of induction motors using neural network observers

Two types of observers (based on the linear and non-linear model of the machine) have been used in field-oriented induction motor control schemes. The reduced-order linear model of the observer is easy to implement in real time, but it does not give an accurate estimation of the rotor m.m.f. vector angle, β, since the induction motor can operate in the region of saturation. The non-linear observer model which incorporates this effect of magnetic saturation of the induction motor cannot be practically implemented by using normal methods as it takes too long a time to estimate the angle β. The implementation of the real-time intelligent controller in this project is based on artificial neural networks (ANN) which take into account the effect of saturation and estimate the angle β in a few microseconds which is within the real time deadline