Modelling the speed control of Brushless DC Motor base on identification system

This paper presents a practice method to model the speed control of Brushless Direct Current Motor (BLDCM) system. This method only needs a dynamic response of BLDCM when given a step input. Further, the data response is represented in to the data series that used as source form the BLDCM model. BLDCM model's is generated by estimation parameter base on the least squares algorithm using that's data. Further, the model is evaluated by the MATLAB simulink and then compared by response of the real plant. The results show that the response characteristic of the speed control of BLDCM base on model is similar to the response of the real plant.