INVESTIGADORES
DE ANGELO Cristian Hernan
artículos
Título:
Current-sensor fault detection and isolation for induction-motor drives using a geometric approach
Autor/es:
FACUNDO AGUILERA; PABLO M. DE LA BARRERA; CRISTIAN H. DE ANGELO; DIEGO R. ESPINOZA-TREJO
Revista:
CONTROL ENGINEERING PRACTICE
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2016 vol. 53 p. 35 - 45
ISSN:
0967-0661
Resumen:
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.
