Real-time fault detection algorithm for interior permanent magnet synchronous motor drive using DSP/FPGA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43965262" target="_blank" >RIV/49777513:23220/22:43965262 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9831681" target="_blank" >https://ieeexplore.ieee.org/document/9831681</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISIE51582.2022.9831681" target="_blank" >10.1109/ISIE51582.2022.9831681</a>
Alternative languages
Result language
angličtina
Original language name
Real-time fault detection algorithm for interior permanent magnet synchronous motor drive using DSP/FPGA
Original language description
The paper deals with the design, implementation and experiment of an embedded drive system diagnostics for interior permanent magnet synchronous motor drive for safety critical applications. The drive is intended for traction drive applications therefore it uses a combination of a digital signal processor (DSP) and a field programmable gate array (FPGA) as is often the case in modern industrial drives. A real-time harmonic monitoring is employed to indicate the development or existence of fault within the drive system. This is achieved by embedding a real-time measurement and control within the DSP operating in conjunction with the motor control, to estimate the machine’s transient reactance after applying an excitation with voltage pulses using the switching of the inverter, and a real-time frequency analysis of the parameter within the FPGA operating independently of the motor control. Experimental testing is used to validate the proposed condition monitoring algorithm on a laboratory prototype of interior permanent magnet synchronous motor drive with a rated power of 4.5 kW.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) : /proceedings/
ISBN
978-1-66548-240-0
ISSN
2163-5145
e-ISSN
—
Number of pages
6
Pages from-to
655-660
Publisher name
IEEE
Place of publication
Piscataway
Event location
Anchorage, Alaska, USA
Event date
Jun 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000946662000105