A framework for multiple objective Co-optimization of switched reluctance machine design and control

Timothy Burress; Leon M. Tolbert

doi:10.1109/ITEC51675.2021.9490155

A framework for multiple objective Co-optimization of switched reluctance machine design and control

Timothy Burress, Leon M. Tolbert

Mechanical Systems Modeling

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

1 Scopus citations

Abstract

A new modeling and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire speed range. A unique method uses static finite element analysis (FEA) results to determine a set of current profiles for discrete speeds, torques, and torque ripple levels, and the associated voltage profiles are computed using steady state equations without time-domain simulations. Particle swarm optimization is implemented to determine optimal current profiles with the consideration of voltage limits, torque ripple, and other system parameters. Further, a machine design optimization method is proposed that leverages outputs from current profile optimizers and determines quality metrics for each design based on the torque requirements and torque ripple limits across the operation region of the targeted application.

Original language	English
Title of host publication	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781728175836
DOIs	https://doi.org/10.1109/ITEC51675.2021.9490155
State	Published - Jun 21 2021
Event	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, United States Duration: Jun 21 2021 → Jun 25 2021

Publication series

Name	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Conference

Conference	2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Country/Territory	United States
City	Chicago
Period	06/21/21 → 06/25/21

Funding

This manuscript has been authored by Oak Ridge National Laboratory, operated by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
U.S. Department of Energy

Access to Document

10.1109/ITEC51675.2021.9490155

Cite this

Burress, T., & Tolbert, L. M. (2021). A framework for multiple objective Co-optimization of switched reluctance machine design and control. In 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 (pp. 1-6). (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC51675.2021.9490155

@inproceedings{712dd8137612409c9b3c08cd18ca4bc9,

title = "A framework for multiple objective Co-optimization of switched reluctance machine design and control",

abstract = "A new modeling and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire speed range. A unique method uses static finite element analysis (FEA) results to determine a set of current profiles for discrete speeds, torques, and torque ripple levels, and the associated voltage profiles are computed using steady state equations without time-domain simulations. Particle swarm optimization is implemented to determine optimal current profiles with the consideration of voltage limits, torque ripple, and other system parameters. Further, a machine design optimization method is proposed that leverages outputs from current profile optimizers and determines quality metrics for each design based on the torque requirements and torque ripple limits across the operation region of the targeted application.",

author = "Timothy Burress and Tolbert, {Leon M.}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 ; Conference date: 21-06-2021 Through 25-06-2021",

year = "2021",

month = jun,

day = "21",

doi = "10.1109/ITEC51675.2021.9490155",

language = "English",

series = "2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021",

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

pages = "1--6",

booktitle = "2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021",

}

Burress, T & Tolbert, LM 2021, A framework for multiple objective Co-optimization of switched reluctance machine design and control. in 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021, Chicago, United States, 06/21/21. https://doi.org/10.1109/ITEC51675.2021.9490155

A framework for multiple objective Co-optimization of switched reluctance machine design and control. / Burress, Timothy; Tolbert, Leon M.
2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1-6 (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021).

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

TY - GEN

T1 - A framework for multiple objective Co-optimization of switched reluctance machine design and control

AU - Burress, Timothy

AU - Tolbert, Leon M.

PY - 2021/6/21

Y1 - 2021/6/21

N2 - A new modeling and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire speed range. A unique method uses static finite element analysis (FEA) results to determine a set of current profiles for discrete speeds, torques, and torque ripple levels, and the associated voltage profiles are computed using steady state equations without time-domain simulations. Particle swarm optimization is implemented to determine optimal current profiles with the consideration of voltage limits, torque ripple, and other system parameters. Further, a machine design optimization method is proposed that leverages outputs from current profile optimizers and determines quality metrics for each design based on the torque requirements and torque ripple limits across the operation region of the targeted application.

AB - A new modeling and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire speed range. A unique method uses static finite element analysis (FEA) results to determine a set of current profiles for discrete speeds, torques, and torque ripple levels, and the associated voltage profiles are computed using steady state equations without time-domain simulations. Particle swarm optimization is implemented to determine optimal current profiles with the consideration of voltage limits, torque ripple, and other system parameters. Further, a machine design optimization method is proposed that leverages outputs from current profile optimizers and determines quality metrics for each design based on the torque requirements and torque ripple limits across the operation region of the targeted application.

UR - http://www.scopus.com/inward/record.url?scp=85114472995&partnerID=8YFLogxK

U2 - 10.1109/ITEC51675.2021.9490155

DO - 10.1109/ITEC51675.2021.9490155

M3 - Conference contribution

AN - SCOPUS:85114472995

T3 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

SP - 1

EP - 6

BT - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Y2 - 21 June 2021 through 25 June 2021

ER -

Burress T, Tolbert LM. A framework for multiple objective Co-optimization of switched reluctance machine design and control. In 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1-6. (2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021). doi: 10.1109/ITEC51675.2021.9490155

A framework for multiple objective Co-optimization of switched reluctance machine design and control

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this