6533b854fe1ef96bd12af392

RESEARCH PRODUCT

Space-vector State Dynamic Model of the SynRM Considering Self, Cross-Saturation and Iron Losses and Related Identification Technique

Angelo AccettaMaurizio CirrincioneMarcello PucciAntonino Sferlazza

subject

Settore ING-INF/04 - AutomaticaControl and Systems EngineeringSynchronous Reluctance Motor (SynRM) space-vector dynamic model magnetic model iron losses parameters' estimationElectrical and Electronic EngineeringIndustrial and Manufacturing Engineering

description

This article proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation, cross-saturation effects, and iron losses. The model is expressed in state form, where the magnetizing current has been selected as a state variable. The proposed dynamic model is based on an original function describing the relationship between the stator flux and the magnetizing current components, improving a previously developed magnetic model. Additionally, the proposed model includes, besides the magnetic saturation, also iron losses. The proposed model requires 11 coefficients, among which 6 describe the self-saturation on both axes and 5 describe the cross-saturation. This paper presents also, from one side a technique for the estimation of the parameters of the magnetic model, and from the other side a purposely developed methodology for measuring the iron losses resistance as well as its variation with the speed and stator current amplitude. The proposed parameter estimation technique has been tested in both numerical simulation and experimentally on a suitably developed test set-up and the proposed model has been thus validated experimentally.

yearjournalcountryeditionlanguage
2023-05-01
10.1109/tia.2023.3252528https://hdl.handle.net/10447/595153