FPGA based neural network position and speed estimator for switched reluctance motor drive
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F08%3A00502869" target="_blank" >RIV/49777513:23220/08:00502869 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
FPGA based neural network position and speed estimator for switched reluctance motor drive
Original language description
This paper presents the design and implementation of the sensorless control system for the Switched Reluctance Motor (SRM) drive without a position sensor. The SRM has been receiving attention for industry applications due to its low cost in mass production, reduced maintenance requirements, rugged behavior and large torque Output over very high speed range. On the other hand, torque ripple, acoustic noise and rotor position sensor requirements are the main disadvantages. This work has been supported bythe Czech Ministry of Education - project: Modern Control of the Switched Reluctance Motor Drives - 913/2008/G1.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Circuits, Systems, Electronics, Control and Signal Processing
ISBN
978-960-474-035-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
WSEAS Press
Place of publication
Athens
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
000264171900023