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首页> 外文期刊>Journal of Applied Research and Technology >Voltage Control of PM Synchronous Motor Driven PM Synchronous Generator System Using Recurrent Wavelet Neural Network Controller
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Voltage Control of PM Synchronous Motor Driven PM Synchronous Generator System Using Recurrent Wavelet Neural Network Controller

机译:递归小波神经网络控制器的永磁同步电动机驱动永磁同步发电机系统的电压控制

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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.
机译:本文提出了两种新颖的递归小波神经网络(RWNN)控制器,用于控制整流器的输出直流(DC)电压和逆变器的输出交流(AC)电压。整流器和逆变器的输出功率由永磁同步电动机(PMSM)直接驱动的三相永磁同步发电机(PMSG)系统提供。首先,实施磁场定向机制来控制PMSG系统的输出。然后,开发了一个RWNN控制器,用于控制整流器,将交流电压转换为直流母线电压,另一个RWNN控制器,用于实现逆变器,将直流链电压转换为交流线电压。此外,还开发了两个使用反向传播学习算法进行在线培训的RWNN,用于调节整流器的直流母线电压和逆变器的交流线电压。最后,通过一些实验结果,与两种PI控制器进行比较,证明了所提出的两种RWNN控制器的有效性和优势。

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