Current-sensor fault detection and isolation for induction-motor drives using a geometric approach

This work presents the design of a current-sensor fault detection and isolation system for induction-motor drives. A differential geometric approach is addressed to determine if faults can be detected and isolated in drives with two line current sensors by using a model based strategy. A set of subsystems is obtained based on the observability co-distribution, whose outputs are decoupled from the load torque (detectability) and only affected by one of the sensors (isolability). A bank of observers is designed for these subsystems in order to obtain residuals for the fault detection and isolation. It is demonstrated that the proposed strategy allows detecting single and multiple sensor faults, including disconnection, offset and gain faults. Experimental results validate the proposal. © 2016 Elsevier Ltd.

Fault detection and isolation; Geometric approach; Induction motor drive; Nonlinear observer; Sensor Drives; Electric drives; Electric motors; Geometry; Induction motors; Sensors; Differential geometric approach; Fault detection and isolation; Geometric approaches; Induction motor drive; Model-based strategy; Multiple sensors; Non-linear observer; Two line currents; Fault detection

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