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

Jason Pries, Tim Burress

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages779-785
Number of pages7
ISBN (Electronic)9781509039043
DOIs
StatePublished - Jul 26 2017
Event2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017 - Chicago, United States
Duration: Jun 22 2017Jun 24 2017

Publication series

Name2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

Conference

Conference2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
Country/TerritoryUnited States
CityChicago
Period06/22/1706/24/17

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]).

FundersFunder number
U.S. Department of Energy
Office of Energy Efficiency and Renewable EnergyDE-AC05-00OR22725

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