In recent years, several industries have widely applied BLDC servomotors for various purposes that they almost need a control system to be accurate and robust. In this paper, we compare an adaptive fuzzy controller and PI controller for BLDC servomotor position control in variable loads. The PI controller is tuned by both the trial-and-error and, Ziegler-Nichols methods. These controllers are implemented to servo system in simulation and physical system real-time with a variable loaded BLDC Motor. The obtained results in simulation and experiment indicate that adaptive fuzzy controller has much better behaviors than PI controller in terms of accuracy and reliability in presence of uncertainties.