| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0368814 |
| utime |
20240103200010.6 |
| mtime |
20111208235959.9 |
| WOS |
000299032402033 |
| DOI |
10.1109/IECON.2011.6119446 |
| title
(primary) (eng) |
Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives |
| specification |
| page_count |
6 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0368839 |
| ISBN |
978-1-61284-971-3 |
| ISSN |
1553-572X |
| title
|
Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society |
| page_num |
1929-1934 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2011 |
|
|
| keyword |
sensorless control |
| keyword |
square root EKF |
| keyword |
PMSM drive |
| author
(primary) |
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0256314 |
| name1 |
Peroutka |
| name2 |
Z. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP102/11/0437 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0273082 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Performance of square-root extended Kalman filter (EKF) based on reduced order models for sensorless control of permanent magnet synchronous motor (PMSM) drives is studied. The reduced order model of PMSM has two-dimensional state vector comprising of: (i) electrical rotor speed, and (ii) electrical rotor position. These state quantities are estimated by the EKF without either speed or position sensor on the motor shaft. The reduction of the model order results in dramatic speed-up of calculation of the estimator which takes only a few tens of microseconds on a conventional fixed-point digital signal processor. Accuracy of the estimator is improved using square-root representation of the covariance matrix. Due to its low computationalrequirements, the proposed square-root EKF estimator is eligible for sophisticated diagnostics as well for sensorless control of PMSM drive in a wide range of industrial applications. Presented theoretical conclusions are verified by both simulations and experiments carried out on developed PMSM drive prototype of rated power of 10.7kW. |
| action |
| ARLID |
cav_un_auth*0277016 |
| name |
IEEE Industrial Electronics, IECON 2011 - 37th Annual Conference on |
| place |
Melbourne |
| dates |
07.11.2011-10.11.2011 |
| country |
AU |
|
| reportyear |
2012 |
| RIV |
JA |
| permalink |
http://hdl.handle.net/11104/0203052 |
| mrcbC86 |
n.a. Proceedings Paper Engineering Industrial|Engineering Electrical Electronic |
| arlyear |
2011 |
| mrcbU34 |
000299032402033 WOS |
| mrcbU63 |
cav_un_epca*0368839 Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society 978-1-61284-971-3 1553-572X 1929 1934 Piscataway IEEE 2011 |
|