IMC-based current observer for PMSM

A current observer based on an internal model control is derived to estimate uncertainties in a permanent magnet synchronous motor (PMSM) caused by parameter variations and disturbances. Specially, a state-space model for current loop is set up as the internal model, and an estimation law is derived...

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Veröffentlicht in:	Electronics letters 2015-12, Vol.51 (25), p.2100-2102
Hauptverfasser:	Huang, Yanwei, Xiong, Shaohua
Format:	Artikel
Sprache:	eng
Schlagworte:	augmented state‐space model Control engineering current loop current ripple suppression Disturbances electric current control IMC‐based current observer internal model control Lyapunov functions Lyapunov methods machine control observer dynamics improvement observers parameter disturbances parameter space methods parameter variations Performance indices permanent magnet motors permanent magnet synchronous motor Permanent magnets PMSM reliability Retarding Ripples robust control robust Lyapunov function Stability stability index improvement state‐space methods superior control performance Synchronous motors uncertainty estimation
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Beschreibung
Zusammenfassung:	A current observer based on an internal model control is derived to estimate uncertainties in a permanent magnet synchronous motor (PMSM) caused by parameter variations and disturbances. Specially, a state-space model for current loop is set up as the internal model, and an estimation law is derived by robust Lyapunov functions for the augmented state-space model to improve the observer dynamics and stability index. Superior control performance on suppressing current ripple for PMSM is verified in experiments.
ISSN:	0013-5194 1350-911X 1350-911X
DOI:	10.1049/el.2015.1955