info:eu-repo/semantics/article
On-Line Model-Based stator fault and identification in induction motors
Fecha
2009-11Registro en:
de Angelo, Cristian Hernan; Bossio, Guillermo Rubén; Giaccone, Santiago Juan; Valla, Maria Ines; Solsona, Jorge Alberto; et al.; On-Line Model-Based stator fault and identification in induction motors; Institute of Electrical and Electronics Engineers; Ieee Transactions On Industrial Electronics; 56; 11; 11-2009; 4671-4680
0278-0046
CONICET Digital
CONICET
Autor
de Angelo, Cristian Hernan
Bossio, Guillermo Rubén
Giaccone, Santiago Juan
Valla, Maria Ines
Solsona, Jorge Alberto
Garcia, Guillermo
Resumen
In this paper, a model-based strategy for statorinterturn short-circuit detection on induction motors is presented. The proposed strategy is based on the generation of a vector of specific residual using a state observer. The vectorial residual is generated from a decomposition of the current estimation error. This allows for a fast detection of incipient faults, independently of the phase in which the fault occurs. Since the observer includes an adaptive scheme for rotor-speed estimation, the proposed scheme can be implemented for online monitoring, by measuring only stator voltages and currents. It is shown that the proposed strategy presents very low sensitivity to load variations and power-supply perturbations. Experimental results are included to show the ability of the proposed strategy for detecting incipient faults, including a low number of short-circuited turns and low fault current.