Sliding-mode Controller for Induction Motor Drive Using Fuzzy Logic and Artificial Neural Networks

This paper presents a fuzzy logic controller and a neural networks sliding mode estimate approach of parameter vector based on a new switching surface for induction motor. First, this paper addresses a fuzzy logic control according to the expert information. Moreover, in order to obtain high-performance and more robust, a robust neural network variable structure control (NN-VSC) is utilized to adjust the parameter vector from the fuzzy logic controller, which is insensitive to uncertainties and disturbances as well. In addition, the effectiveness of the proposed control systems is verified by simulated results.