APF的一种神经网络监督控制方法研究

A New Neural Network Supervision and Control Method for APF

由于非线性负载的广泛使用,电力系统中的谐波和功率因数降低的问题日益严重。针对上述问题,设计了一种RBF网络监督控制的三相并联有源电力滤波器(Shunt Active Power Filter,简称SAPF),用以抑制谐波和提高功率因数。首先,建立SAPF的数学模型,对谐波信号即控制信号进行RBF网络监督控制来控制开关的通断,通过Matlab仿真来证实该算法的有效性,神经网络通过DSP实现。

Aiming to the problem of harmonics and low power factor caused by widely-used nonlinear load, a shunt three-phase active power fiher（SAPF） based on RBF network supervision and control is designed to suppress the har- monies and improve power factor.By modeling the SAPF and being robust to load disturbance, control the signal using the RBF network supervision and control.Simulations results verify the effectiveness of the algorithm,and neural net- work by DSP realized.