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为有效补偿有源电力滤波器(APF)的控制延时,提出一种基于自适应线性神经元(ADALINE)的APF预测电流控制策略。该策略通过ADALINE预测下一控制周期的参考电流,根据两相静止坐标系下APF系统模型确定参考电压,利用空间矢量脉宽调制(SVPWM)方法,使APF输出电流快速、准确地跟踪参考电流。仿真与APF样机上的实际运行结果表明,和采用传统无预测算法的SVPWM方法相比,采用本文提出的预测电流控制策略,APF的稳态补偿精度和动态跟踪性能均明显提高。
In order to effectively compensate the control delay of active power filter (APF), an APF predictive current control strategy based on adaptive linear neuron (ADALINE) is proposed. The ADALINE predicts the reference current in the next control cycle, determines the reference voltage according to the APF system model in the two-phase standstill coordinate system, and uses the space vector pulse width modulation (SVPWM) method to make the APF output current track the reference current quickly and accurately. Simulation and APF prototype results show that, compared with the traditional SVPWM method without predictive algorithm, the proposed predictive current control strategy, APF steady-state compensation accuracy and dynamic tracking performance are significantly improved.