Identifying dynamic model parameters of a BLDC motor |
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| Affiliation: | 1. Dept. of Electrical & Electronics Engineering, GVP College of Engineering for Women, Visakhapatnam, AP, India;2. Dept. of Electrical & Electronics Engineering, Gudla Vellore Engineering College, AP, India;3. Dept. of Electrical Engineering, JNTU Kakinada, AP, India;1. Faculty of Engineering, Helwan University, Egypt;2. Faculty of Engineering and Technology, Future University in Egypt, Egypt;1. Shahrekord University, Iran;2. Shahrekord University, Eng. Dept. and Center of Excellence for Mathematics, Shahrekord, Iran;3. Islamic Azad University, Khomeini shahr Branch, Isfahan, Iran |
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| Abstract: | An off-line identification method founded on the least-squares approximation technique and a closed-loop disturbance observer is applied for identifying the parameters of a BLDC motor model. No special configuration of the motor is required besides the availability of experimental data for back-EMF, phase currents, rotor position, and rotor speed. This method is used to identify the back-EMF harmonics and mechanical parameters, where the mechanical parameters refer to cogging-torque, viscous friction coefficient, and Coulomb friction coefficient. The proposed identification method is theoretically investigated, and the method’s effectiveness is proved by experimental results performed on a low-power BLDC motor. |
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