A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM
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A model-based method for interturn short-circuit fault detection and isolation in permanent magnet synchronous machines (PMSMs) is proposed in this paper. The fault detection is realized based on a residual current vector (RCV) generated by the difference between the measured stator currents and the stator currents estimated by a state observer. In order to avoid false alarms due to possible undesired perturbations, the sequence decomposition of the RCV is performed by employing different reference-frames. Thus, the proposed RCV allows the correct detection of interturn short-circuit faults and quantification of the fault severity in any faulty stator-phase winding. Moreover, since the back-EMF generated by the magnets is proportional to the rotor shaft speed, the electrical angular speed is estimated through the stator voltages measurement, without using a speed sensor. Simulation results from the three-phase PMSM dynamic model that allows considering the interturn short-circuit fault in any stator phase-windings are presented. The proposed method is validated using a three-phase PMSM prototype with modified stator windings. The robustness and the reliability of the proposal was tested for several interturn fault conditions under transient conditions including different disturbances. © 1982-2012 IEEE.
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Fault diagnosis; interturn short circuit; model-based approach; observer; permanent-magnet synchronous machines (PMSMs) Failure analysis; Magnets; Permanent magnets; Stators; Synchronous machinery; Timing circuits; Winding; Inter-turn short circuit; Inter-turn short circuit fault; Model based approach; Model-based method; Model-based strategy; observer; Permanent magnet synchronous machines; Transient conditions; Fault detection
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