A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications

Yingzhuo Chen; Zhao Yuan; Fang Luo

doi:10.1109/NAECON.2018.8556757

A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications

Yingzhuo Chen
, Zhao Yuan
, Fang Luo

Electrical Engineering

Ohio State University
University of Arkansas, Fayetteville

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Scopus citations

Abstract

This paper proposes a multi-objective design optimization methodology for power-electronics inverters with more electric aircraft applications, which orients the optimum design point of both passive components and semiconductors between power density and efficiency of the inverter system based on semi-physical mathematical models and multi-level sub-optimization models. This algorithm is demonstrated by designing a 25 kW 2-level motor-drive inverter and showing superior performances than state-of-Arts products.

Original language	English
Title of host publication	NAECON 2018 - IEEE National Aerospace and Electronics Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	36-42
Number of pages	7
ISBN (Electronic)	9781538665572
DOIs	https://doi.org/10.1109/NAECON.2018.8556757
State	Published - Dec 3 2018
Event	2018 IEEE National Aerospace and Electronics Conference, NAECON 2018 - Dayton, United States Duration: Jul 23 2018 → Jul 26 2018

Publication series

Name	Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
Volume	2018-July
ISSN (Print)	0547-3578
ISSN (Electronic)	2379-2027

Conference

Conference	2018 IEEE National Aerospace and Electronics Conference, NAECON 2018
Country/Territory	United States
City	Dayton
Period	07/23/18 → 07/26/18

Keywords

efficiency
more electric aircraft
motor drive inverter
multi-objective optimization
power density

Access to Document

10.1109/NAECON.2018.8556757

Cite this

Chen, Y., Yuan, Z., & Luo, F. (2018). A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications. In NAECON 2018 - IEEE National Aerospace and Electronics Conference (pp. 36-42). Article 8556757 (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAECON.2018.8556757

Chen, Yingzhuo ; Yuan, Zhao ; Luo, Fang. / A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications. NAECON 2018 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 36-42 (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON).

@inproceedings{f092ce36798c417faef6f1dbb31a0cc4,

title = "A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications",

abstract = "This paper proposes a multi-objective design optimization methodology for power-electronics inverters with more electric aircraft applications, which orients the optimum design point of both passive components and semiconductors between power density and efficiency of the inverter system based on semi-physical mathematical models and multi-level sub-optimization models. This algorithm is demonstrated by designing a 25 kW 2-level motor-drive inverter and showing superior performances than state-of-Arts products.",

keywords = "efficiency, more electric aircraft, motor drive inverter, multi-objective optimization, power density",

author = "Yingzhuo Chen and Zhao Yuan and Fang Luo",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE National Aerospace and Electronics Conference, NAECON 2018 ; Conference date: 23-07-2018 Through 26-07-2018",

year = "2018",

month = dec,

day = "3",

doi = "10.1109/NAECON.2018.8556757",

language = "English",

series = "Proceedings of the IEEE National Aerospace Electronics Conference, NAECON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "36--42",

booktitle = "NAECON 2018 - IEEE National Aerospace and Electronics Conference",

}

Chen, Y, Yuan, Z & Luo, F 2018, A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications. in NAECON 2018 - IEEE National Aerospace and Electronics Conference., 8556757, Proceedings of the IEEE National Aerospace Electronics Conference, NAECON, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 36-42, 2018 IEEE National Aerospace and Electronics Conference, NAECON 2018, Dayton, United States, 07/23/18. https://doi.org/10.1109/NAECON.2018.8556757

A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications. / Chen, Yingzhuo; Yuan, Zhao; Luo, Fang.
NAECON 2018 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc., 2018. p. 36-42 8556757 (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications

AU - Chen, Yingzhuo

AU - Yuan, Zhao

AU - Luo, Fang

PY - 2018/12/3

Y1 - 2018/12/3

N2 - This paper proposes a multi-objective design optimization methodology for power-electronics inverters with more electric aircraft applications, which orients the optimum design point of both passive components and semiconductors between power density and efficiency of the inverter system based on semi-physical mathematical models and multi-level sub-optimization models. This algorithm is demonstrated by designing a 25 kW 2-level motor-drive inverter and showing superior performances than state-of-Arts products.

AB - This paper proposes a multi-objective design optimization methodology for power-electronics inverters with more electric aircraft applications, which orients the optimum design point of both passive components and semiconductors between power density and efficiency of the inverter system based on semi-physical mathematical models and multi-level sub-optimization models. This algorithm is demonstrated by designing a 25 kW 2-level motor-drive inverter and showing superior performances than state-of-Arts products.

KW - efficiency

KW - more electric aircraft

KW - motor drive inverter

KW - multi-objective optimization

KW - power density

UR - https://www.scopus.com/pages/publications/85059881062

U2 - 10.1109/NAECON.2018.8556757

DO - 10.1109/NAECON.2018.8556757

M3 - Conference contribution

AN - SCOPUS:85059881062

T3 - Proceedings of the IEEE National Aerospace Electronics Conference, NAECON

SP - 36

EP - 42

BT - NAECON 2018 - IEEE National Aerospace and Electronics Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE National Aerospace and Electronics Conference, NAECON 2018

Y2 - 23 July 2018 through 26 July 2018

ER -

Chen Y, Yuan Z, Luo F. A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications. In NAECON 2018 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc. 2018. p. 36-42. 8556757. (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON). doi: 10.1109/NAECON.2018.8556757

A Model-Based Multi-Objective Optimization for High Efficiency and High Power Density Motor Drive Inverters for Aircraft Applications

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this