Isolation, Detection and Estimation of Current Sensors Faults in PMSM Drives Based on Current Signature Modeling

In the paper, an algorithm for field oriented controlled permanent magnet synchronous machine (PMSM) drives is carried out, which allows for isolating, detecting and estimating both the scaling gain and the offset faults, affecting separately or simultaneously one or more phase current sensors. In previous papers, the authors proposed an analytical model able to determine the currents in a PMSM drive affected by offset and scaling gain faults. Its analytical solution required the solution of an overdetermined system of equations, performed by means of a new methodology developed by the authors. In this paper that model is analytically inverted to carry out an algorithm for detection, isolation, and estimation (FDIE) of scaling gain and offset faults affecting current sensors of PMSM current signature. The output of the proposed FDIE algorithm is represented by the estimated values of scaling gains and offsets of the three current sensors of the drive. To the best of knowledge of the authors, a similar algorithm does not exist in the literature, and this justifies the innovative contribution of this paper. Eventually, an extensive experimental validation confirms the effectiveness of the proposed FDIE algorithm.