ANN-Aided Data-Driven IGBT Switching Transient Modeling Approach for FPGA-Based Real-Time Simulation of Power Converters - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Transportation Electrification Année : 2023

ANN-Aided Data-Driven IGBT Switching Transient Modeling Approach for FPGA-Based Real-Time Simulation of Power Converters

Résumé

This paper develops a novel feedforward neural networks (FFNNs)-based device-level model from physical IGBT model dataset by the proposed artificial neural network (ANN)-aided data-driven IGBT switching transient modeling approach, so that the physics-based IGBT models can be indirectly integrated into FPGA-based real-time simulation of power converters. The main concept is to fit the turn-on / turn-off transient waveforms generated from a physics-based IGBT model by using multiple FFNNs with the same structure but different coefficients. Each FFNN is trained by a dataset covering the transient voltage / current values corresponding to all possible operating conditions at a given discrete time point during transient. All FFNN coefficients are stored on FPGA. By applying the corresponding FFNN coefficients at each simulation time-step, the switching transient waveforms can then be accurately reproduced. The proposed FFNN-based device-level model is designed into two intellectual property (IP) cores at 200 MHz with a fully pipelined structure, which allows the model to authentically reproduce transient waveforms with a 5 ns resolution. A four-phase floating interleaved boost converter (FIBC) is selected as a case study and simulated on a NI-PXIe FlexRIO FPGA real-time platform. The FPGA-based experimental results are compared with that from the LTspice offline simulator, which enables to validate the accuracy and effectiveness of the proposed modeling approach for real-time simulation of power converters.
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Dates et versions

hal-04172647 , version 1 (27-07-2023)

Identifiants

Citer

Qian Li, Hao Bai, Elena Virginia Breaz, Robin Roche, Fei Gao. ANN-Aided Data-Driven IGBT Switching Transient Modeling Approach for FPGA-Based Real-Time Simulation of Power Converters. IEEE Transactions on Transportation Electrification, 2023, 9 (1), pp.1166 - 1177. ⟨10.1109/TTE.2022.3201656⟩. ⟨hal-04172647⟩
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