基于模型预测控制的三相四桥臂有源电力滤波器

针对现有有源电力滤波器数字化控制方法对模型依赖性较强的缺点, 在介绍了正负序系统和零序系统解耦控制的基础上, 提出了一种三相四桥臂有源电力滤波器的模型预测控制(MPC)方法, 以差分方程作为预测模型, 保留了常规MPC中的反馈校正和滚动优化环节, 推导出了最优控制率. 与常用的预测电流控制方法做了对比, 得出了带电源电压观测器的预测电流控制只是模型预测控制的一个特例的结论; 详细分析了参数对稳定性的影响, 修改MPC的参数, 可以在省略带通滤波器的情况下, 允许更大的连接电抗参数建模误差, 鲁棒性比预测电流控制更高.此外, MPC和重复控制相结合消除了MPC所固有的稳态误差. 仿真结果验证了所提方法的有效性和正确性.

Three-phase Four-leg Active Power Filter Based on Model Predictive Control

A model predictive control (MPC) method for a three-phase four-leg active power filter is proposed after introducing the decouple control of the positive-negative order and the zero order systems. The difference equation is accepted as predictive model, feedback correction and dynamic optimization in conventional MPC are reserved, the optimal control law is deduced. A comparison between predictive current control and the proposed controller is made, a conclusion that predictive current control with supply voltage observer is only a special case of MPC is proved. The influences of system parameters on system stability are analyzed in detail. A larger modeling error allowance of connection reactor than predictive current control is obtained by modifying the MPC parameters, the controller has high robustness and the bandpass filter is omitted. Further, a repetitive controller eliminates the steady state error of MPC. The simulation results verify the validity of the proposed method.