Details
| Original language | English |
|---|---|
| Title of host publication | 2015 17th European Conference on Power Electronics and Applications |
| Subtitle of host publication | EPE'15 ECCE-Europe |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9789075815221 |
| Publication status | Published - 2015 |
| Event | 17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015 - Geneva, Switzerland Duration: 8 Sept 2015 → 10 Sept 2015 |
Abstract
This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated in real time. The presented approach is applicable on a standard industrial drive, including a current measurement and a motor speed feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by experiments. Furthermore, the influence of an asymmetrical stator winding, saturation and incorrectly assumed leakage inductances are discussed.
Keywords
- estimation technique, induction motor, intelligent drive
ASJC Scopus subject areas
- Energy(all)
- Fuel Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Energy(all)
- Energy Engineering and Power Technology
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2015 17th European Conference on Power Electronics and Applications: EPE'15 ECCE-Europe. Institute of Electrical and Electronics Engineers Inc., 2015. 7309099.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Observer-Based Online Parameter Estimation of Squirrel-Cage Induction Machines Based on the Gradient Descent Method
AU - Koupeny, J.
AU - Lucke, S.
AU - Mertens, A.
PY - 2015
Y1 - 2015
N2 - This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated in real time. The presented approach is applicable on a standard industrial drive, including a current measurement and a motor speed feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by experiments. Furthermore, the influence of an asymmetrical stator winding, saturation and incorrectly assumed leakage inductances are discussed.
AB - This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated in real time. The presented approach is applicable on a standard industrial drive, including a current measurement and a motor speed feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by experiments. Furthermore, the influence of an asymmetrical stator winding, saturation and incorrectly assumed leakage inductances are discussed.
KW - estimation technique
KW - induction motor
KW - intelligent drive
UR - http://www.scopus.com/inward/record.url?scp=84965026104&partnerID=8YFLogxK
U2 - 10.1109/EPE.2015.7309099
DO - 10.1109/EPE.2015.7309099
M3 - Conference contribution
AN - SCOPUS:84965026104
BT - 2015 17th European Conference on Power Electronics and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th European Conference on Power Electronics and Applications, EPE-ECCE Europe 2015
Y2 - 8 September 2015 through 10 September 2015
ER -