Reduced-order Kalman filter based sensorless control of permanent magnet synchronous motor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F13%3A43918981" target="_blank" >RIV/49777513:23220/13:43918981 - 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
Reduced-order Kalman filter based sensorless control of permanent magnet synchronous motor
Original language description
This paper is concerned with design of a speed and position estimator of a permanent magnet synchronous motor (PMSM) controlled by direct torque control (DTC). The designed estimator is based on a reduced-order Kalman filter. The reduced-order Kalman filter is computationally less demanding in comparison with a full model Kalman filter, therefore it is suitable for use in the direct torque control where a short sampling period is needed for its proper function. The designed estimator is implemented in the DTC control algorithms with sampling period of 50 microseconds. The proper function of the proposed sensorless speed and position estimator was verified by simulations and by experiments on a small scale laboratory drive with rated power of 250 W. Theproper function was verified in selected steady and transient states of the motor drive.
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
<a href="/en/project/GAP102%2F11%2F0437" target="_blank" >GAP102/11/0437: Control and Parameter Identification of AC Electric Drives under Critical Operating Conditions</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 International Conference on Applied Electronics
ISBN
978-80-261-0166-6
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
185-188
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Plzeň
Event date
Sep 10, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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