Fault Isolation Via Multiple-model Estimation for Traction Inverter with IGBT Open Circuit Fault

In this paper, a fault isolation method based on multiple-model estimation is proposed for IGBTs (Insulated Gate Bipolar Transistor) open circuit faults in the inverters of the high-speed train traction systems. Considering that an IGBT has three operating modes and there are 12 IGBTs in a three-level inverter, the multiple-model is introduced to describe the dynamics of inverters. Due to the redundant design characteristics of the inverter sensors in high-speed trains, sensors data fusion method is employed to estimate the system states. Combined with the faulty multiple-model, the fault isolation scheme is constructed to determine which IGBT has a fault. The simulation results show the effectiveness of the fault isolation algorithm.

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