论文标题
通过极限循环模型预测控制的状态信号塑造的方法
An Approach to State Signal Shaping by Limit Cycle Model Predictive Control
论文作者
论文摘要
提出了一种新型的非线性模型预测控制方法，以进行状态信号塑形。控制策略基于超临界Neimark-Sacker分叉法线形式的圆形极限循环的动力学引入残留形状成本内核。这使控制器可以以特定的频率和振幅强加基本的谐波状态信号形状。提出了与可再生能源集成的分布网格中的谐波补偿的应用示例。控制器的任务是计算用于负载补偿的活动电源过滤器的参考电流。获得的结果是成功的，从而将谐波失真降低到令人满意的水平，同时确保正确的频率和振幅。
A novel nonlinear model predictive control approach for state signal shaping is proposed. The control strategy introduces a residual shape cost kernel based on the dynamics of circular limit cycles from a supercritical Neimark-Sacker bifurcation normal form. This allows the controller to impose a fundamental harmonic state signal shape with a specific frequency and amplitude. An application example for harmonic compensation in distribution grids integrated with renewable energies is presented. The controller is tasked with the calculation of the reference current for an active power filter used for load compensation. The results achieved are successful, reducing the harmonic distortion to satisfactory levels while ensuring the correct frequency and amplitude.
