Examinando por Autor "Aguilera, Facundo"

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Sensors and Open-Switch FDI of Induction Motor Drives based on Control Reconfiguration
(Universidad Nacional de Rafaela, 2025-09-17) Venghi, Luis Esteban; Aguilera, Facundo; De la Barrera, Pablo Martín; De Angelo, Cristian Hernán
This paper presents a fault detection and isolation (FDI) strategy designed to enhance the reliability of induction motor drives by addressing both sensor faults and open-circuit (OC) faults in inverter switches. For sensor faults, the proposed approach employs control reconfiguration by combining estimates from an observer bank with measured stator current and mechanical speed signals. Faults are diagnosed by analyzing discrepancies between estimated and measured variables, and faulty sensor signals are replaced with reliable estimates to ensure continuous operation under fault conditions. With respect to OC faults, the FDI strategy involves averaging the phase current over a half-cycle and comparing it to a predefined threshold to diagnose both single and multiple OC faults in the inverter switches. The effectiveness of the proposed FDI strategy is validated through experimental tests conducted under various fault scenarios.
Single and Multiple Open-Switch Fault Diagnosis in Electric Drives via Zero-Current Interval Analysis
(Universidad Nacional de Rafaela, 2026-03-01) Venghi, Luis Esteban; Aguilera, Facundo; De la Barrera, Pablo Martín; De Angelo, Cristian Hernán
In this work, a new and simple method for open-switch fault diagnosis in electric drives based on zero-current detection is proposed. The approach requires only two phase current sensors, with the measured currents being normalized and separated into positive and negative half-cycles. A variable-sample-time moving average is introduced for post-processing the signals. Zero-current interval detection is employed to diagnose both single and multiple open-switch faults. The proposed method was experimentally validated under various fault conditions, including single-switch, crossed-switch, full-leg, and two upper- or lower-switch open-circuit faults. Experimental results demonstrate that, despite its simplicity and ease of implementation, the method reliably detects all single and double open-switch fault scenarios in less than one electrical cycle, across different motor operating conditions.