A Framework and an Open-Loop Method to Identify PMSM Parameters Online
Chapter
Accepted version
Åpne
Permanent lenke
https://hdl.handle.net/11250/2729650Utgivelsesdato
2020Metadata
Vis full innførselSamlinger
- Institutt for elkraftteknikk [2500]
- Publikasjoner fra CRIStin - NTNU [38679]
Originalversjon
10.23919/ICEMS50442.2020.9291135Sammendrag
A method for online adaptation of electric parameters of a rotating machine is proposed herein. The concept adopts the recursive prediction error method (RPEM) for parameter adaptation, that exploits the prediction-error gradient functions (Ψ T ) With the aim of setting a general framework for the cause, the method is systematically demonstrated for online identification of permanent magnet flux linkage (Ψ m ) and stator-winding resistance (R s ) of an interior permanent magnet synchronous machine (IPMSM). Additionally, an experiment to estimate R s at the start-up is presented. The gain-matrix is identified using the stochastic gradient algorithm (SGA). Simulation results validate the rapid convergence performance, adaptability and tuning flexibility of the proposed method.