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Recurrent Wavelet Network Control of PMSM Based on Wind-Turbine Emulator and PM Synchronous Generator System

机译:基于风力发电机仿真和永磁同步发电机系统的永磁同步电机递归小波网络控制

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摘要

Recurrent wavelet neural network (RWNN) control is proposed for control of permanent magnet synchronous motor (PMSM) based on wind-turbine emulator (WTE) and a permanent magnet synchronous generator (PMSG) system. First, the field-oriented mechanism is designed for the control of the PMSG system. Then, a controlled 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. Since the PMSG system is a nonlinear and time-varying dynamic system, two online trained RWNNs using backpropagation learning algorithm are introduced as the regulating controllers for both the DC-link voltage of the controlled rectifier and the AC line voltage of the inverter. Moreover, a closed loop PMSM based on wind-turbine emulator, also using theR WNN, is designed to produce the maximum power for the PMSG system at various wind speeds to confront the parameter dependency of the PMSM based on wind-turbine emulator. Furthermore, some experimental results are provided to show the effectiveness of the proposed PMSM based on WTE and PMSG system using the R WNN controller. Finally, to show the effectiveness of the proposed controller, comparative studies with proportional-integral (PI) controller are demonstrated by experimental results.
机译:提出了基于风力发电机仿真器(WTE)和永磁同步发电机(PMSG)系统的递归小波神经网络(RWNN)控制永磁同步电动机(PMSM)的方法。首先,将磁场定向机制设计用于PMSG系统的控制。然后,开发了可控整流器(AC / DC电源转换器)和逆变器(DC / AC电源转换器)以转换由三相PMSG系统产生的电能。由于PMSG系统是非线性且时变的动态系统,因此引入了两个使用反向传播学习算法在线训练的RWNN,作为受控整流器的直流母线电压和逆变器的交流线电压的调节控制器。此外,基于风力涡轮机仿真器的闭环PMSM,也使用R WNN,被设计为在各种风速下为PMSG系统产生最大功率,以应对基于风力涡轮机仿真器的PMSM的参数依赖性。此外,提供了一些实验结果,以证明使用R WNN控制器的基于WTE和PMSG系统的PMSM的有效性。最后,为了显示所提出控制器的有效性,实验结果证明了与比例积分(PI)控制器的比较研究。

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