Details
| Original language | English |
|---|---|
| Title of host publication | 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe |
| Pages | LS4b1.21-LS4b1.28 |
| Publication status | Published - 2012 |
| Event | 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe - Novi Sad, Serbia Duration: 4 Sept 2012 → 6 Sept 2012 |
Publication series
| Name | 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe |
|---|
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 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 key parameters with reduced computational effort. Key parameters like saturation-dependent inductances have a great impact on position estimation, as already reported in the past. As rotor position estimation and parameter identification depend on each other, operating conditions exist where only an ambiguous determination is possible. This demands an appropriate identification strategy which is presented in this paper.
Keywords
- self-sensing control, sensorless control, system identification
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Electrical and Electronic Engineering
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15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe. 2012. p. LS4b1.21-LS4b1.28 6397451 (15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Novel MRAS approach for online identification of key parameters for self-sensing control of PM synchronous machines
AU - Wiedmann, K.
AU - Mertens, A.
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 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 key parameters with reduced computational effort. Key parameters like saturation-dependent inductances have a great impact on position estimation, as already reported in the past. As rotor position estimation and parameter identification depend on each other, operating conditions exist where only an ambiguous determination is possible. This demands an appropriate identification strategy which is presented in this paper.
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 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 key parameters with reduced computational effort. Key parameters like saturation-dependent inductances have a great impact on position estimation, as already reported in the past. As rotor position estimation and parameter identification depend on each other, operating conditions exist where only an ambiguous determination is possible. This demands an appropriate identification strategy which is presented in this paper.
KW - self-sensing control
KW - sensorless control
KW - system identification
UR - http://www.scopus.com/inward/record.url?scp=84874244845&partnerID=8YFLogxK
U2 - 10.1109/EPEPEMC.2012.6397451
DO - 10.1109/EPEPEMC.2012.6397451
M3 - Conference contribution
AN - SCOPUS:84874244845
SN - 9781467319713
T3 - 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
SP - LS4b1.21-LS4b1.28
BT - 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
T2 - 15th International Power Electronics and Motion Control Conference and Exposition, EPE-PEMC 2012 ECCE Europe
Y2 - 4 September 2012 through 6 September 2012
ER -