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

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.