In this paper, stator resistance and speed estimation for a vector controlled induction motor drive taking saturation into account is presented. A mathematical dynamic model of an induction motor as influenced by magnetic circuit saturation is presented. Moreover, a modified structure of indirect vector controller scheme is proposed which involves the saturated value of the magnetizing inductan...

This article presents the elements of model reference adaptive control, which refers to a particular control procedure for uncertain dynamic systems. The control problem as well as the adaptive control problem are described. The use of various models for control, including identification model and reference model is presented. The model-following in the presence of various inputs is discussed. ...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

In this paper a new approach to a neural network-based model reference adaptive intelligent controller is proposed. In this scheme, the intelligent supervisory loop is incorporated into the conventional model reference adaptive controller framework by utilizing an online growing multilayer back propagation neural network structure in parallel with it. The idea is to control the plant by convent...