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出 处:《电气传动》2011年第3期32-37,共6页Electric Drive
摘 要:通过对电压源逆变器输出脉冲序列函数的傅里叶分析,推导了并联型有源电力滤波器数字控制系统中心对称规则采样方式的调制误差模型。在此基础上,提出运用一种基于自适应预测算法的准自然采样脉宽调制方法,精确逼近自然采样调制过程,从而有效抑制有源电力滤波器实际输出电流相对于理想补偿函数的相位偏移与波形畸变,显著提高了有源电力滤波器对非线性负载谐波电流的综合补偿性能。所提出自适应预测算法在Matlab仿真运行中获得了良好的预测精度和动态响应速度。实验室环境下,7.5 kV.A有源电力滤波器样机的实验结果进一步验证了自适应预测算法与准自然采样调制方法的正确性与可行性,表明其在提升并联有源电力滤波器谐波补偿性能方面具有良好应用前景。The modulation error model of central symmetrical regular sampling for digitalized shunt active power filter (APF) controller was deduced using Fourier transformation for output pulse series function of voltage source inverter. Furthermore,a quasi-natural sampling pulse width modulation (PWM) method based on adaptive prediction algorithm was carried out and employed to precisely approach natural sampling modula- tion process,hence to efficiently suppress the phase excursion and waveform distortion of harmonic compensa- tion current comparing with ideal reference signal in shunt APF. Consequently the general harmonic elimina- tion performance for nonlinear load was enhanced evidently. The proposed adaptive prediction algorithm obtains good precision and fast dynamic response in computer simulation of Matlab. Experimental results observed from a 7.5 kV .A laboratory prototype is also given to verify the validity and feasibility of the proposed scheme,which shows that it emerges good prospect in harmonic compensation performance enhancement for shunt APF.
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