A Novel Brushless DC Motor Rotor Position Detection Algorithm Based on Morphological Wavelet Transform

In this paper, a novel algorithm using morphological wavelet transform (MWT) for brushless DC motor (BLDCM) rotor position (RP) detection is proposed. MWT is used to detect turning points of source signals, which can technically support the stator winding current commutations of PWM control. For achieving RP detection, detection of source signal turning points accurately is helpful. Simulation studies have been done by constructing BLDCM model in MATLAB. Simulation results proved that, the novel RP detection algorithm based on MWT can accurately detect the rotor position of BLDCM, which can enhance the position sensorless control (PSC) for BLDCM via getting turning points of phase back electromotive forces (PBEF) in BLDCM.