Real-Time Frequency Tracking for Induction Motor Drives using LabVIEW FPGA

Sinisa Durovic; Kavul Tshiloz

doi:10.1109/MECO.2017.7977146

Real-Time Frequency Tracking for Induction Motor Drives using LabVIEW FPGA

Sinisa Durovic
, Kavul Tshiloz

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

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Abstract

This paper reports the implementation procedure of a real-time frequency tracking algorithm for induction motor drive velocity estimation on a commercial cRIO real-time/FPGA platform. The general software architecture required to establish a real-time frequency tracking routine is presented and its frequency tracking performance illustrated in practical tests on a 7.5 kW induction motor drive. The presented architecture is shown to provide a flexible and effective platform for real-time frequency estimation applications in electric motor drives.

Original language	English
Title of host publication	6th IEEE Mediterranean Conference on Embedded Computing (IEEE MECO 2017)
Publisher	IEEE
Pages	1-4
DOIs	https://doi.org/10.1109/MECO.2017.7977146
Publication status	Published - 2017
Event	2017 6th Mediterranean Conference on Embedded Computing (MECO) - Bar, Montenegro Duration: 11 Jun 2017 → 15 Jun 2017 http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41302

Conference

Conference	2017 6th Mediterranean Conference on Embedded Computing (MECO)
Abbreviated title	IEEE MECO 2017
Country/Territory	Montenegro
City	Bar
Period	11/06/17 → 15/06/17
Internet address	http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41302

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title = "Real-Time Frequency Tracking for Induction Motor Drives using LabVIEW FPGA",

abstract = "This paper reports the implementation procedure of a real-time frequency tracking algorithm for induction motor drive velocity estimation on a commercial cRIO real-time/FPGA platform. The general software architecture required to establish a real-time frequency tracking routine is presented and its frequency tracking performance illustrated in practical tests on a 7.5 kW induction motor drive. The presented architecture is shown to provide a flexible and effective platform for real-time frequency estimation applications in electric motor drives.",

author = "Sinisa Durovic and Kavul Tshiloz",

year = "2017",

doi = "10.1109/MECO.2017.7977146",

language = "English",

pages = "1--4",

booktitle = "6th IEEE Mediterranean Conference on Embedded Computing (IEEE MECO 2017)",

publisher = "IEEE",

address = "United States",

note = "2017 6th Mediterranean Conference on Embedded Computing (MECO), IEEE MECO 2017 ; Conference date: 11-06-2017 Through 15-06-2017",

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AU - Durovic, Sinisa

AU - Tshiloz, Kavul

PY - 2017

Y1 - 2017

N2 - This paper reports the implementation procedure of a real-time frequency tracking algorithm for induction motor drive velocity estimation on a commercial cRIO real-time/FPGA platform. The general software architecture required to establish a real-time frequency tracking routine is presented and its frequency tracking performance illustrated in practical tests on a 7.5 kW induction motor drive. The presented architecture is shown to provide a flexible and effective platform for real-time frequency estimation applications in electric motor drives.

AB - This paper reports the implementation procedure of a real-time frequency tracking algorithm for induction motor drive velocity estimation on a commercial cRIO real-time/FPGA platform. The general software architecture required to establish a real-time frequency tracking routine is presented and its frequency tracking performance illustrated in practical tests on a 7.5 kW induction motor drive. The presented architecture is shown to provide a flexible and effective platform for real-time frequency estimation applications in electric motor drives.

U2 - 10.1109/MECO.2017.7977146

DO - 10.1109/MECO.2017.7977146

M3 - Conference contribution

SP - 1

EP - 4

BT - 6th IEEE Mediterranean Conference on Embedded Computing (IEEE MECO 2017)

PB - IEEE

T2 - 2017 6th Mediterranean Conference on Embedded Computing (MECO)

Y2 - 11 June 2017 through 15 June 2017

ER -

Real-Time Frequency Tracking for Induction Motor Drives using LabVIEW FPGA

Abstract

Conference

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