• Mrs. KATTOJU GNANESHWARI
• Mrs. G.P. MERLINE

An artificial Neural Network (ANN) is a simple network that has input, output, and hidden layers with a set of nodes. Implementation of ANN algorithms in electrical, and electronics engineering always satisfies the expected results as ANN handles binary data more accurately. Brushless Direct Current Motor (BLDC motor) uses electronic closed-loop controllers to switch DC current to the motor windings and produces magnetic fields. The BLDC motor finds more applications because of its high speed, less maintenance, and adequate torque capability. This motor is preferred to other motors due to its better performance and it is very easy to control its speed by Power Converters. The main contribution in this paper is applying ANN techniques for effective speed regulation of BLDCM in the absence and presence of external load. To give an inborn PFC at supply ac mains a converter based on buck boost type is intended to work in broken inductor current mode (DICM). The execution of the proposed system simulated in MATLAB/Simulink environment

Back EMF sensing technique, commutation instant, Permanent Magnet Brushless DC motor (PMBLDCM), sensor less operation, speed independent commutation function, virtual Hall signals, ANN.

"BRUSHLESS DC MOTOR SPEED CONTROL BY THE INTELLIGENT CONTROL TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.a280-a286, November-2022, Available :http://www.jetir.org/papers/JETIR2211035.pdf

"BRUSHLESS DC MOTOR SPEED CONTROL BY THE INTELLIGENT CONTROL TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppa280-a286, November-2022, Available at : http://www.jetir.org/papers/JETIR2211035.pdf