Automatic Identification of Machine Parameters for Motor Drives
Carla Petta
Automatic Identification of Machine Parameters for Motor Drives.
Rel. Iustin Radu Bojoi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettrica, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (9MB) | Preview |
|
|
Archive (ZIP) (Documenti_allegati)
- Altro
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) |
Abstract
In industrial settings, a common challenge associated with electrical machines is the lack of parameters, which are not always available from the machine manufacturer. These parameters play a crucial role in tuning the control gains of Field-Oriented Control (FOC). Traditional parameter identification methods, widely accepted in the literature, are the standard IEEE tests such as DC measurement, no-load test, locked-rotor test, and short circuit test. However, their implementation can be impractical as they necessitate additional equipment that may be costly and not readily accessible. This thesis addresses self-commissioning procedures as a solution to this challenge, aiming to automatically identify electrical parameters of machine equivalent circuits.
Specifically, this study focuses on the Imperix motor testbench, comprising Induction Machine (IM) and Surface Mounted Permanent Magnet Synchronous Machine (SPMSM)
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
