The brushless DC (BLDC) motor Control System uses a multi-variable, non-linear, strong coupling system to demonstrate resilient and adaptable qualities. In recent years, there has been a significant increase in interest in the new intelligent controller for BLDC motors. Neural control is an ANN (Artificial Neural Network)-based control technology that uses information gathered from observing the system’s dynamic behavior. Because the controller needs to be reprogrammed when the system’s behavior changes, adaptive control systems can benefit from this feature. An inverse model of BLDC motor speed was developed using an artificial neural network (ANN). Then, the controller was built using this model. To create control strategies with effective dynamic reactions, the MRAC concept was used.