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Power Op-Amp Based Active Filter Design with Self Adjustable Gain Control by Neural Networks for EMI Noise Problem in Induction Motor Control Systems

机译:基于Power Op-AMP的主​​动滤波器设计,通过神经网络进行自调节增益控制,用于感应电机控制系统中的EMI噪声问题

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An induction motor control system fed by an AC/DC rectifier and a DC/AC inverter group is a nonlinear and EMI generating load causes harmonic distortions and EMI noise effects in power control systems. In this paper, a simulation model is designed for the control circuit and the harmonic effects of the nonlinear load are investigated using FFT analyses. Also, the EMI noise generated by the switching-mode power electronic devices measured using high frequency spectrum scopes. An LISN based active filter is used to damp the harmonic distortions and EMI noises at the inverter output side in the simulation environment. Neural network based control system is used to tune the power op-amp gain of series active filter to obtain the voltage value stability at the equipment side as well.
机译:由AC / DC整流器和DC / AC逆变器组馈送的感应电动机控制系统是非线性,EMI产生负荷导致功率控制系统中的谐波畸变和EMI噪声效应。在本文中,设计了一种用于控制电路的仿真模型,使用FFT分析研究了非线性负载的谐波效应。此外,由使用高频谱示波器测量的开关模式电力电子设备产生的EMI噪声。基于LISN的有源滤波器用于阻尼仿真环境中的逆变器输出侧的谐波扭曲和EMI噪声。基于神经网络的控制系统用于调整串联有源滤波器的功率运算放大器增益,以获得设备侧的电压值稳定性。

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