Fault Diagnosis Based on Sliding Mode Observer and Signal Analysis for PMSM Current Sensor

In this paper, a fault diagnosis method based on sliding mode observer (SMO) and signal analysis is proposed for permanent magnet synchronous motor (PMSM) current sensor. First, the SMO is established for estimating αβ axis current values to detect fault phase. Next, current sensors faults can be classified based on the current characteristics by harmonic analysis under different fault types. Ultimately, the outcomes of the simulation emphasize the feasibility and effectiveness of the suggested approach.