Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seitenumfang | 9 |
| ISBN (elektronisch) | 9789075815399 |
| ISBN (Print) | 978-1-6654-8700-9 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Veranstaltung | 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Deutschland Dauer: 5 Sept. 2022 → 9 Sept. 2022 |
Abstract
This paper presents an extended robust disturbance observer for improved force ripple compensation of a permanent magnet synchronous linear motor. In extension, working from the output of the robust disturbance observer, the amplitudes of dominant harmonics are estimated by means of a harmonic-activated neural network. With the knowledge of the amplitude, the phase shift of an individual harmonic resulting from the robust disturbance observer can be corrected. This method improves the cogging force compensation by feedforward, especially when the frequency of the force ripple increases due to higher travelling speeds.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe. Institute of Electrical and Electronics Engineers Inc., 2022.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
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TY - GEN
T1 - Novel Extended Robust Disturbance Observer for Improved Cogging Force Compensation in Permanent Magnet Linear Motors
AU - Luckert, Franz
AU - Mertens, Axel
PY - 2022
Y1 - 2022
N2 - This paper presents an extended robust disturbance observer for improved force ripple compensation of a permanent magnet synchronous linear motor. In extension, working from the output of the robust disturbance observer, the amplitudes of dominant harmonics are estimated by means of a harmonic-activated neural network. With the knowledge of the amplitude, the phase shift of an individual harmonic resulting from the robust disturbance observer can be corrected. This method improves the cogging force compensation by feedforward, especially when the frequency of the force ripple increases due to higher travelling speeds.
AB - This paper presents an extended robust disturbance observer for improved force ripple compensation of a permanent magnet synchronous linear motor. In extension, working from the output of the robust disturbance observer, the amplitudes of dominant harmonics are estimated by means of a harmonic-activated neural network. With the knowledge of the amplitude, the phase shift of an individual harmonic resulting from the robust disturbance observer can be corrected. This method improves the cogging force compensation by feedforward, especially when the frequency of the force ripple increases due to higher travelling speeds.
KW - Industrial application
KW - Linear drive
KW - Neural network
KW - Ripple minimization
KW - Robust control
UR - http://www.scopus.com/inward/record.url?scp=85141635183&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85141635183
SN - 978-1-6654-8700-9
BT - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Y2 - 5 September 2022 through 9 September 2022
ER -