DIRECT TORQUE CONTROLLED DRIVE OF BRUSHLESS DC MOTOR BASED ON FUZZY LOGIC
The BLDC is modeled in the stationary reference frame using phase currents, speed, and rotor position as state variables. As the stator winding neutral point is not accessible, which makes it impossible to directly measure phase voltages, it is necessary to define a BLDCM model with line voltages as input variables. In this design, a sensorless fuzzy direct torque-controlled BLDC drives are developed using Matlab-Simulink model to reduce torque ripple in two-phase conduction mode. In the system, the torque error and flux linkage angle of BLDC were all properly fuzzified into several subsets to accurately select the voltage space vector in order to smooth the torque and quicken the torque response. The torque and rotor speed are derived based on the back-EMFs. The effectiveness of the model is validated using Matlab simulations under two conditions i.e before and after.
Reference Paper: Sensorless Direct Torque Controlled Drive of Brushless DC Motor based on Fuzzy Logic
Author’s Name: YAN Wei-Sheng, LIN Hai, and LI Hong, Yan Wei
Source: IEEE
Year:2009
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