Neural Networks Generalized Predictive Speed Controller for Vector Controlled Double Stator Induction Motor

In this paper a neural generalized predictive speed controller for double stator induction motor drives (DSIM) is presented. An efficient implementation of GPC using a radial basis function neural network as the plant’s nonlinear prediction model is presented to extend the capability of artificial neural network identification. The controller appeared to be robust in the face of totally unknown plant dynamics and external disturbances. Extensive simulation results are presented to validate the proposed technique. The controller is tested at different speeds trajectories and a very satisfactory performance has been achieved