Current sensors gain faults detection and isolation based on an adaptive observer for PMSM drives

This paper deals with a new method current sensors gain faults detection and isolation (FDI) for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor gain fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current gain fault after detecting the fault occurrence. The validity of the proposed method is verified by simulation tests.