带LCL滤波器的APF新型预测电流控制策略

针对带LCL滤波器的有源电力滤波器APF（active power filter）的优化控制问题，设计了一种新颖的预测电流控制方案。传统的APF控制器采用多旋转坐标系变换和PI调节器实现对谐波的控制，此外还有谐振控制方案，但都存在计算负担随谐波次数增加而增大的缺点。新型预测电流控制方案结合使用了比例预测控制、积分预测控制和阻尼算法，实现了在计算量固定条件下的APF优化控制，其中积分预测控制可以补偿由参数扰动引起的模型误差。利用APF实验平台开展了动静态实验，结果验证了使用所开发的新型预测电流控制方案在稳态和负载变化的情况下均具有优良的控制性能，并能完成对高次谐波的补偿。

Novel Predictive Current Control Strategy for APF with LCL Filter

A novel predictive current control scheme is designed to solve the problem of optimal control of an active power filter(APF) with LCL filter. The traditional APF controller uses multi-rotation coordinate system transformation and a PI regulator to control the harmonics. In addition, the resonant control scheme is also available. However, both of them have a disadvantage, i.e., the computational burden increases with the growing order of harmonics. In the novel predictive current control scheme, the proportional predictive control, integral predictive control and the damping algorithm are combined to achieve the optimal control of APF under the condition of fixed computational burden, where the integral predictive control can compensate the model error caused by parameter disturbance. Dynamic and static experiments were carried out on an APF experimental platform, and results verified that the proposed novel predictive current control scheme had an excellent control performance under both the steady-state and varying load conditions, and it can also complete the compensation for high-order harmonics.