High fidelity D-Q modeling of synchronous machines using spectral interpolation

Jason Pries; Tim Burress

doi:10.1109/ITEC.2017.7993368

High fidelity D-Q modeling of synchronous machines using spectral interpolation

Jason Pries
, Tim Burress

Mechanical Systems Modeling

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

4 Scopus citations

Abstract

This paper presents a dynamic nonlinear dq0 modeling technique for synchronous machines considering magnetic saturation, non-sinusoidal magnetomotive-force, and non-sinusoidal airgap flux density distributions. State-space models are identified from nonlinear finite-element simulations by expanding the flux-linkage and torque dependency on current vector magnitude, current vector angle, and rotor position using tensor product basis functions. A filtering technique is introduced to reduce the complexity of the model based on a user selected criteria. Simulations at different accuracy levels incorporating speed and current controllers, current and voltage constraints, and inverter switching behavior are presented.

Original language	English
Title of host publication	2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	779-785
Number of pages	7
ISBN (Electronic)	9781509039043
DOIs	https://doi.org/10.1109/ITEC.2017.7993368
State	Published - Jul 26 2017
Event	2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017 - Chicago, United States Duration: Jun 22 2017 → Jun 24 2017

Publication series

Name	2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

Conference

Conference	2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
Country/Territory	United States
City	Chicago
Period	06/22/17 → 06/24/17

Funding

This manuscript has been authored 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). Corresponding author: J. Pries (e–mail: [email protected]).

Access to Document

10.1109/ITEC.2017.7993368

Cite this

Pries, J., & Burress, T. (2017). High fidelity D-Q modeling of synchronous machines using spectral interpolation. In 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017 (pp. 779-785). Article 7993368 (2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC.2017.7993368

@inproceedings{1f3f1f6afe954a90bfe692cf71995a7e,

title = "High fidelity D-Q modeling of synchronous machines using spectral interpolation",

abstract = "This paper presents a dynamic nonlinear dq0 modeling technique for synchronous machines considering magnetic saturation, non-sinusoidal magnetomotive-force, and non-sinusoidal airgap flux density distributions. State-space models are identified from nonlinear finite-element simulations by expanding the flux-linkage and torque dependency on current vector magnitude, current vector angle, and rotor position using tensor product basis functions. A filtering technique is introduced to reduce the complexity of the model based on a user selected criteria. Simulations at different accuracy levels incorporating speed and current controllers, current and voltage constraints, and inverter switching behavior are presented.",

author = "Jason Pries and Tim Burress",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017 ; Conference date: 22-06-2017 Through 24-06-2017",

year = "2017",

month = jul,

day = "26",

doi = "10.1109/ITEC.2017.7993368",

language = "English",

series = "2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017",

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

pages = "779--785",

booktitle = "2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017",

}

Pries, J & Burress, T 2017, High fidelity D-Q modeling of synchronous machines using spectral interpolation. in 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017., 7993368, 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 779-785, 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017, Chicago, United States, 06/22/17. https://doi.org/10.1109/ITEC.2017.7993368

High fidelity D-Q modeling of synchronous machines using spectral interpolation. / Pries, Jason; Burress, Tim.
2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 779-785 7993368 (2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017).

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

TY - GEN

T1 - High fidelity D-Q modeling of synchronous machines using spectral interpolation

AU - Pries, Jason

AU - Burress, Tim

PY - 2017/7/26

Y1 - 2017/7/26

N2 - This paper presents a dynamic nonlinear dq0 modeling technique for synchronous machines considering magnetic saturation, non-sinusoidal magnetomotive-force, and non-sinusoidal airgap flux density distributions. State-space models are identified from nonlinear finite-element simulations by expanding the flux-linkage and torque dependency on current vector magnitude, current vector angle, and rotor position using tensor product basis functions. A filtering technique is introduced to reduce the complexity of the model based on a user selected criteria. Simulations at different accuracy levels incorporating speed and current controllers, current and voltage constraints, and inverter switching behavior are presented.

AB - This paper presents a dynamic nonlinear dq0 modeling technique for synchronous machines considering magnetic saturation, non-sinusoidal magnetomotive-force, and non-sinusoidal airgap flux density distributions. State-space models are identified from nonlinear finite-element simulations by expanding the flux-linkage and torque dependency on current vector magnitude, current vector angle, and rotor position using tensor product basis functions. A filtering technique is introduced to reduce the complexity of the model based on a user selected criteria. Simulations at different accuracy levels incorporating speed and current controllers, current and voltage constraints, and inverter switching behavior are presented.

UR - https://www.scopus.com/pages/publications/85028584132

U2 - 10.1109/ITEC.2017.7993368

DO - 10.1109/ITEC.2017.7993368

M3 - Conference contribution

AN - SCOPUS:85028584132

T3 - 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

SP - 779

EP - 785

BT - 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

Y2 - 22 June 2017 through 24 June 2017

ER -

Pries J, Burress T. High fidelity D-Q modeling of synchronous machines using spectral interpolation. In 2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 779-785. 7993368. (2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017). doi: 10.1109/ITEC.2017.7993368

High fidelity D-Q modeling of synchronous machines using spectral interpolation

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this