Current sensors faults detection, isolation and control reconfiguration for PMSM drives

Abstract

This paper deals with a new method current sensors faults detection isolation (FDI) and reconfiguration of the control loops of a permanent magnet synchronous motor (PMSM) drives. The stator currents are measured as well as observed. During fault free operation, the measured signals are used for the PMSM control. In the case of current sensors faults, the faulty measurements are detected and isolated using the new FDI algorithm. This algorithm uses an augmented PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current fault after detecting the fault occurrence. After sensor fault detection and isolation, the control is reconfigured using the healthy observer's outputs. The validity of the proposed method is verified by simulation tests.