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Model Based Optimization of Propulsion Inverter for More-Electric Aircraft Applications Using Double Fourier Integral Analysis

机译:采用双傅里叶积分分析的更多电动飞机应用推进逆变器的基于模型优化

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More-electric aircraft (MEA) concept is getting popular as it increases system efficiency with less costs. The concept leads to numerous challenges including power density and volume. This paper presents a novel application of model based optimization (MBO) on 3L-TNPC inverter to determine the optimal semi-conductor selection, modulation strategy, and passive components. The algorithm extensively relies on double fourier integral analysis (DFIA) for selection of the modulation strategy and filter design. The algorithm helps optimize the design of a 450 kVA three-phase full SiC-MOSFET based inverter with peak efficiency of 99.47%. And the estimated converter efficiency at full-load is 99.10%. The algorithm developed is scalable and can be extended for future high-performance inverter design applications.
机译:更多电动机(MEA)概念在增加系统效率时越来越受欢迎。该概念导致许多挑战,包括电力密度和体积。本文介绍了3L-TNPC逆变器上基于模型优化(MBO)的新颖应用,以确定最佳半导体选择,调制策略和无源组件。该算法广泛依赖于双傅里叶积分分析(DFIA),以选择调制策略和滤波器设计。该算法有助于优化450 kVA三相全SiC-MOSFET基于基于450 kVA三相全SiC-MOSFET的逆变器,峰值效率为99.47%。全负荷估计的转换器效率为99.10%。开发的算法可扩展,可扩展为未来的高性能逆变器设计应用。

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