TY - GEN
T1 - Model Based Optimization of Propulsion Inverter for More-Electric Aircraft Applications Using Double Fourier Integral Analysis
AU - Mustafeez-Ul-Hassan,
AU - Yuan, Zhao
AU - Peng, Hongwu
AU - Emon, Asif Imran
AU - Chen, Yingzhuo
AU - Luo, Fang
N1 - Publisher Copyright:
© 2020 AIAA.
PY - 2020/8/26
Y1 - 2020/8/26
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85096588491
U2 - 10.2514/6.2020-3596
DO - 10.2514/6.2020-3596
M3 - Conference contribution
AN - SCOPUS:85096588491
T3 - 2020 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2020
BT - 2020 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2020
Y2 - 26 August 2020 through 28 August 2020
ER -