Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A2 Katsausartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
12
Series
IEEE Transactions on Power Electronics, Volume 34, issue 4, pp. 3603-3614
Abstract
In high-performance control of ac machines through variable frequency drives, the knowledge of machine parameters plays a decisive role. The accuracy with which machine parameters can be known is directly related to the time and effort put during the testing and commissioning process. In the ever-demanding industrial environments, the time spent on parameter identification translates into loss of production. To reduce commissioning times, research in this direction has focused on automatizing the identification procedure without loss of accuracy. This paper reviews different lines of research adopted over the past few decades for machine parameter identification. Parameter estimation of ac machines is considered because of their widespread applications from servomechanisms to traction to aviation. The surveyed works include self-commissioning schemes that have become an integral part and a salient feature of modern electric drives. This feature enables the drives to automatically identify machine parameters and tune the control loops.Description
Other note
Citation
Odhano, S A, Pescetto, P, Awan, H A A, Hinkkanen, M, Pellegrino, G & Bojoi, R 2019, 'Parameter Identification and Self-Commissioning in AC Motor Drives : A Technology Status Review', IEEE Transactions on Power Electronics, vol. 34, no. 4, 8411491, pp. 3603-3614. https://doi.org/10.1109/TPEL.2018.2856589