A generalized approach for determining electric machine drive switching schemes using evolutionary optimization algorithms

Tim Burress, Daniel Costinette, Jason Pries, Lixin Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The number of inverter switching events in one fundamental cycle of an electric machine can be limited by many factors such as inverter switching frequency, rotational speed, and computational time required by control algorithms. Even at low and moderate speeds, switching harmonics cause distortion in the phase current, which can lead to increased torque ripple and core losses when compared to operation with ideal waveforms. Furthermore, as rotational speed increases and voltage limitations are encountered, overmodulation schemes must be implemented to overcome increasing reactance and back-EMF (or pseudo back-EMF). The goal of this paper is to establish a framework and demonstrate methods for determining optimal switching times for a set number of switching events in a fundamental cycle using particle swarm optimization and multivariable fitness functions.

Original languageEnglish
Title of host publication2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages459-463
Number of pages5
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-AC0500OR22725 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 the 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).

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