Revue: | Journal of applied research and technology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000377603 |
ISSN: | 1665-6423 |
Autores: | Lin, C. H1 Lin, C. P2 |
Instituciones: | 1National United University No. 1, Department of Electrical Engineering, Miao-Li. Taiwán 2Sumo Industrial Company Ltd., Department of Engineering, Taichung. Taiwán |
Año: | 2013 |
Periodo: | Abr |
Volumen: | 11 |
Número: | 2 |
Paginación: | 183-194 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Experimental, aplicado |
Resumen en inglés | In this paper the two novel recurrent wavelet neural network (RWNN) controllers are proposed for controlling output direct current (DC) voltage of the rectifier and output alternate current (AC) voltage of the inverter. The output power of the rectifier and the inverter is provided by three-phase permanent magnet synchronous generator (PMSG) system directly-driven by permanent magnet synchronous motor (PMSM). Firstly, the field-oriented mechanism is implemented for controlling output of the PMSG system. Then, one RWNN controller is developed for controlling rectifier to convert AC voltage into DC link voltage and the other RWNN controller is implemented for controlling inverter to convert DC link voltage into AC line voltage. Moreover, two online trained RWNNs using backpropagation learning algorithms are developed for regulating both the DC link voltage of the rectifier and the AC line voltage of the inverter. Finally, the effectiveness and advantages of the proposed two RWNN controllers are demonstrated in comparison with the two PI controllers from some experimental results |
Disciplinas: | Ingeniería |
Palabras clave: | Ingeniería eléctrica, Motores sincrónicos, Controladores, Redes neuronales, Generadores sincrónicos, Rectificadores, Inversores |
Keyword: | Engineering, Electrical engineering, Synchronous motors, Controllers, Neural networks, Synchronous generator, Rectifiers, Inverters |
Texte intégral: | Texto completo (Ver HTML) |