Recently, the great advantages of the Brushless DC Motors (BLDCM) such as their simple design, high applied output force (torque), long term usage and speed stability encourage the designers to wide use these motors in various industries. Whilst, Brushless DC (BLDC) systems are characterized by their uncertainties and non-linearity. One of the most popular control techniques in handling nonlinear and uncertain systems is the Sliding Mode Control (SMC). In this work, advanced SMC techniques such as adaptive SMC and fuzzy SMC approaches are proposed for effective speed regulation of BLDCM in the absence and presence of external load. Simulation performance of the speed regulation for BLDCM with the designed proposed approaches is compared with a classical Proportional- Integral - Derivative (PID) controller to validate the success of the advanced SMC techniques in improving the system characteristics (settling time, steady state error, rise time and disturbance \& noise rejection).