L. Ouada
Faculty of Technology, LSTE Laboratory, University of Mostefa Ben Boulaïd Batna 2, Algeria
[ 1 ] - Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator
The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surfa...
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