For the direct-current (dc) electrical power distribution system onboard more electric aircraft, the voltage quality of dc bus is of a great concern since there could be significant harmonics distortions when feeding different power electronics loads. This problem can be potentially addressed by introducing a dc filter to the point-of-load converters regulated by the finite control set model predictive control (FCS-MPC). To optimize this filter, genetic algorithm (GA) is utilized for searching the optimal design, which guarantees a low mass and low power losses. Different from the conventional filter design methods, the proposed method treats $LC$ as design variables, which need to be optimized while ensuring the output power quality. First, relations among variables, operation conditions, and constraints are built based on commercial data and circuit simulations. Then, the design and optimization are developed with these relations and a Pareto front is finally given by GA. After that, the best design is obtained by an index integrating two objectives. Lastly, the design approach is verified by an experiment where an FCS-MPC regulated converter was used as a particular example fed by three different $LC$ filters.

中文翻译：

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MEA中FCS-MPC调节的功率转换器的优化滤波器设计

对于更多电动飞机上的直流 (dc) 配电系统，直流母线的电压质量是一个非常重要的问题，因为在为不同的电力电子负载供电时可能会出现明显的谐波失真。通过将直流滤波器引入由有限控制集模型预测控制 (FCS-MPC) 调节的负载点转换器，可以潜在地解决这个问题。为了优化这个过滤器，遗传算法（GA）被用于搜索最优设计，保证低质量和低功率损耗。不同于传统的滤波器设计方法，所提出的方法处理$LC$作为设计变量，需要在保证输出电能质量的同时进行优化。首先，基于商业数据和电路模拟建立变量、操作条件和约束之间的关系。然后，根据这些关系进行设计和优化，最终由 GA 给出帕累托前沿。之后，通过综合两个目标的指标获得最佳设计。最后，通过实验验证了设计方法，其中 FCS-MPC 稳压转换器用作特定示例，由三个不同的$LC$ 过滤器。