Performance Investigation on OCF and SCF Study in BLDC Machine Using FTANN Controller

The stability and fault investigation of BLDC (Brushless DC machine) with FTANN controller (Fuzzy Tuned Artificial Neural Network) is presented. The stability study of the developed controller is obtained using nyquist technique. The designed controller is examined for speed and load variations, SCF (Short Circuit variation) and OCF (Open circuit fault) has been presented. A 300 W, 50 Hz prototype model is designed, the stable state performances of the machine are introduced and compared. From the modeling and investigational results, FTANN Controller performance better compared to FLC.