Abstract
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, BLDC systems are characterized by their uncertainties and non-linearity. One of the famous control techniques in handling nonlinear and uncertain systems is the Sliding Mode Control (SMC). The main contribution in this paper is applying advanced SMC techniques such as adaptive SMC and fuzzy SMC approaches for effective speed regulation of BLDCM in the absence and presence of external load. The simulation performance of speed regulation for BLDCM using the designed approaches is compared with a classical Proportional-Integral-Derivative (PID) controller to validate the success of the proposed advanced SMC techniques in improving the system characteristics (settling time, steady state error, rise time and disturbance & noise rejection). Our simulations run under the umbrella of MATLAB 2017.
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