Voltage Control of PM Synchronous Motor Driven PM Synchronous Generator System Using Recurrent Wavelet Neural Network Controller

In this paper the two novel recurrent wavelet neural network (RWNN) controllers are proposed for controlling outputdirect current (DC) voltage of the rectifier and output alternate current (AC) voltage of the inverter. The output powerof the rectifier and the inverter is provided by three-phase perm...

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Authors: H. Lin, C.; P. Lin, C.
Format: Article
Status:Published version
Publication date:2013
Country:México
Institution:UNAM
Repository:Journal of Applied Research and Technology
Language:English
OAI Identifier:oai:ojs2.localhost:article/313
Online Access:https://jart.icat.unam.mx/index.php/jart/article/view/313
Access Level:Open access
Keyword:Permanent magnet synchronous motor
recurrent wavelet neural network
permanent magnet synchronous generator
rectifier
inverter.
Summary:In this paper the two novel recurrent wavelet neural network (RWNN) controllers are proposed for controlling outputdirect current (DC) voltage of the rectifier and output alternate current (AC) voltage of the inverter. The output powerof the rectifier and the inverter is provided by three-phase permanent magnet synchronous generator (PMSG) systemdirectly-driven by permanent magnet synchronous motor (PMSM). Firstly, the field-oriented mechanism isimplemented for controlling output of the PMSG system. Then, one RWNN controller is developed for controllingrectifier to convert AC voltage into DC link voltage and the other RWNN controller is implemented for controllinginverter to convert DC link voltage into AC line voltage. Moreover, two online trained RWNNs using backpropagationlearning algorithms are developed for regulating both the DC link voltage of the rectifier and the AC line voltage of theinverter. Finally, the effectiveness and advantages of the proposed two RWNN controllers are demonstrated incomparison with the two PI controllers from some experimental results.

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