Application of parity space approach in fault detection of DC motors

This paper deals with a fault detection and isolation (FDI) of a DC motor described by linear dynamic models. Dynamic space parity approach is used to detect sensor and actuator faults. This approach is based on obtaining an input-output description of a given system and transforming it into the parity equations. Therefore, the theoretical symptoms matrix is established. The later is compared to an experimental one to isolate the faults. The validity and usefulness of the fault detection and isolation algorithms are thoroughly verified with experiments on 1kw DC motor using a dSpace system with DS1104 controller board based on digital signal processor (DSP) TMS320F240.