具有参数鲁棒性的三相电压源型并网逆变器模型预测电流控制

传统模型预测电流控制十分依赖精确的数学模型，然而建模存在的误差会使模型参数失配。针对模型参数失配引起的控制器鲁棒性较差问题，提出了具有参数鲁棒性的模型预测电流控制算法。通过对模型预测电流控制的工作机理进行分析，论述了电感失配对控制器的影响；根据实际电流变化量与预测电流变化量的关系建立电感观测器并划分观测区域，使预测模型具有强鲁棒性。在两电平三相电压型并网逆变器系统上对所提算法进行仿真与实验，在模型参数失配时，控制器可通过电感观测器准确跟踪实际电感值并修正模型，从而有效降低并网电流的总谐波含量，仿真和实验结果验证了该算法的可行性与有效性。

Model Predictive Current Control of Three-phase Voltage Source Grid-connected Inverter with Parameter Robustness

The traditional model predictive current control(MPCC) heavily relies on the accuracy of mathematical mo-dels. However, there exists parameter mismatch due to modeling errors. An improved MPCC algorithm with parameter robustness is proposed to solve the problem of the controller''s poor robustness due to parameter mismatch. Through the analysis of the operating principle of MPCC, the influences of induction mismatch on the controller are discussed. In addition, an inductance observer with division of observing area is established based on the actual and predictive current variations, thus ensuring the controller''s strong robustness. Simulations and experiments were conducted on a two-level three-phase voltage source grid-connected inverter system. In the case of parameter mismatch, the controller accurately tracked the actual inductance value and corrected the model by means of the inductance observer. Therefore, the total harmonic distortion of grid-connected current was effectively reduced. Simulation and experimental results verified the feasibility and effectiveness of the proposed algorithm.