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

 

C. H. Lin*¹, C. P. Lin²

 

¹ Department of Electrical Engineering National United University No. 1, Lienda, Kung-Jing village, Miaoli 360, Taiwan, R.O.C. *jhin@nuu.edu.tw.

² Department of Engineering Sumo Industrial Company Ltd. No. 81, Mingli Street , West District, Taichung 430, Taiwan, R.O.C.

 

ABSTRACT

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.

Keywords: Permanent magnet synchronous motor, recurrent wavelet neural network, permanent magnet synchronous generator, rectifier, inverter.

 

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