Dynamic control for permanent magnet synchronous generator system using novel modified recurrent wavelet neural network

Because permanent magnet synchronous generator (PMSG) system driven by permanent magnet synchronous motor (PMSM) based on wind turbine emulator (WTE) is a nonlinear and time-varying system with high complication, an accurate dynamic model of the PMSG system directly driven by WTE is difficult to est...

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Veröffentlicht in:	Nonlinear dynamics 2014-09, Vol.77 (4), p.1261-1284
1. Verfasser:	Lin, Chih-Hong
Format:	Artikel
Sprache:	eng
Schlagworte:	Automotive Engineering Classical Mechanics Control Control systems design Controllers Dynamic control Dynamic models Dynamical Systems Emulators Engineering Inverters Magnetism Maximum power Mechanical Engineering Neural networks On-line systems Original Paper Parameter modification Permanent magnets Power converters Rectifiers Stability Synchronous motors Vibration Wavelet analysis Wind turbines
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