Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 3rd IEEE International Symposium on Sensorless Control for Electrical Drives |
| Untertitel | SLED 2012 |
| ISBN (elektronisch) | 978-1-4673-2967-5 |
| Publikationsstatus | Veröffentlicht - 2012 |
| Veranstaltung | 3rd IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2012 - Milwaukee, WI, USA / Vereinigte Staaten Dauer: 21 Sept. 2012 → 22 Sept. 2012 |
Abstract
Some of the remaining challenges of self-sensing control for permanent magnet synchronous machines (PMSM) are: combination of EMF-based and magnetic saliency-based methods, influence of the fundamental current control on saliency-based methods, position-transducerless system identification of key parameters or mitigation of distortion effects, respectively, and reduction of computational effort. The authors present a novel Model Reference Adaptive System (MRAS) approach which takes these demands into account. In this paper, the focus is set on identification of saturation-dependent inductances and mitigation of harmonic estimation errors. A linear approximation of saturation effects is achieved within an auto-commissioning process. Furthermore an adaptive filter is presented mitigating harmonic estimation errors which are caused by multiple saliencies e.g. Thus in contrast to passive filter structures a good bandwidth of the self-sensing control is achieved. Experimental results demonstrate a good performance of self-sensing control for the entire speed range including dynamic operation (with maximal loading), although no offline measurements/identification of the drive system was applied.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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3rd IEEE International Symposium on Sensorless Control for Electrical Drives: SLED 2012. 2012. 6422822.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Self-Sensing Control of PM Synchronous Machines Including Online System Identification Based on a Novel MRAS Approach
AU - Wiedmann, Karsten
AU - Mertens, Axel
PY - 2012
Y1 - 2012
N2 - Some of the remaining challenges of self-sensing control for permanent magnet synchronous machines (PMSM) are: combination of EMF-based and magnetic saliency-based methods, influence of the fundamental current control on saliency-based methods, position-transducerless system identification of key parameters or mitigation of distortion effects, respectively, and reduction of computational effort. The authors present a novel Model Reference Adaptive System (MRAS) approach which takes these demands into account. In this paper, the focus is set on identification of saturation-dependent inductances and mitigation of harmonic estimation errors. A linear approximation of saturation effects is achieved within an auto-commissioning process. Furthermore an adaptive filter is presented mitigating harmonic estimation errors which are caused by multiple saliencies e.g. Thus in contrast to passive filter structures a good bandwidth of the self-sensing control is achieved. Experimental results demonstrate a good performance of self-sensing control for the entire speed range including dynamic operation (with maximal loading), although no offline measurements/identification of the drive system was applied.
AB - Some of the remaining challenges of self-sensing control for permanent magnet synchronous machines (PMSM) are: combination of EMF-based and magnetic saliency-based methods, influence of the fundamental current control on saliency-based methods, position-transducerless system identification of key parameters or mitigation of distortion effects, respectively, and reduction of computational effort. The authors present a novel Model Reference Adaptive System (MRAS) approach which takes these demands into account. In this paper, the focus is set on identification of saturation-dependent inductances and mitigation of harmonic estimation errors. A linear approximation of saturation effects is achieved within an auto-commissioning process. Furthermore an adaptive filter is presented mitigating harmonic estimation errors which are caused by multiple saliencies e.g. Thus in contrast to passive filter structures a good bandwidth of the self-sensing control is achieved. Experimental results demonstrate a good performance of self-sensing control for the entire speed range including dynamic operation (with maximal loading), although no offline measurements/identification of the drive system was applied.
KW - permanent magnet synchronous machine (PMSM)
KW - self-sensing control
KW - sensorless control
KW - system identification
UR - http://www.scopus.com/inward/record.url?scp=84874246619&partnerID=8YFLogxK
U2 - 10.1109/SLED.2012.6422822
DO - 10.1109/SLED.2012.6422822
M3 - Conference contribution
AN - SCOPUS:84874246619
SN - 9781467329668
BT - 3rd IEEE International Symposium on Sensorless Control for Electrical Drives
T2 - 3rd IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2012
Y2 - 21 September 2012 through 22 September 2012
ER -