CONTROL AND DIAGNOSTIC MODEL OF BRUSHLESS DC MOTOR

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BLDC is a type of Electric Motors that rapidly gains popularity due to its good performance and the development of microprocessor controls. New PWM switching strategy to minimize the torque ripples in BLDC motor which is based on sensored rotor position control is discussed in the paper [1]. Tuning methodology for the parameters of adaptive current and speed controllers in a permanent-magnet BLDC motor drive system is presented in paper [2]. Two Fault Detection and Diagnosis strategies for detecting Brushless DC Motor faults were considered involving wavelets and state estimation [3]. Bearing faults and stator winding faults,which are responsible for the majority of motor failures,are considered [3]. A novel method using windowed Fourier ridges is proposed in paper [4] for the detection of rotor faults in BLDC motors operating under continuous non-stationarity. The use of quadratic TFRs is presented as a solution for the diagnostics of rotor faults in brushless DC (BLDC) motors operating under constantly changing