Abstract:
Brushless Direct Current Motor (BLDCM) drives are progressively prominent in traction as well as in industrial operations. The rheostat of BLDCM in multi quadrants is significant. By utilizing smart controller, the adaptability of the drive mechanism expanded. In this paper, the solar panel is encouraged by the BLDCM, and the for driving the power inverter channel signals of PWM for BLDCM have been effectively executed utilizing a controller with and the motor controlled by all the four quadrants with no consumption of the energy power is preserved through re-forming braking time interval. By using fuzzy with neural network learning the intelligent controller framed. MATLAB /Simulink done by using simulation of the recommended model.
