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

Abstract:

A recurrent wavelet neural network (RWNN) controller is proposed to control output voltages for a permanent magnet synchronous motor (PMSM) direct drive three-phase permanent magnet synchronous generator (PMSG) system at stand-alone power application in this paper. First, the field-oriented mechanism is implemented for the control of the PMSG system. Then, a rectifier (AC/DC power converter) and an inverter (DC/AC power converter) are developed to convert the electric power generated by a three-phase PMSG system. Moreover, two online trained RWNNs using backpropagation learning algorithm are developed as the regulating controllers for both the DC-link voltage of the rectifier and the AC line voltage of the inverter. Finally, to show the effectiveness of the proposed controller, comparative studies with PI controller are demonstrated by experimental results.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 2346-2350
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.2346
• Online since: January 2013
• Authors: Chih Hong Lin, Chih Peng Lin
• Keywords: Inverter, Permanent Magnet Synchronous Generator (PMSG), Permanent Magnet Synchronous Motor, Rectifier, Recurrent Wavelet Neural Network (RWNN)

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