Optimal Filter Design for Power Converters Regulated by FCS-MPC in the MEA
Yuan Gao, Tao Yang, Tomislav Dragičević, Serhiy Bozhko, Patrick Wheeler, Changming Zheng
Abstract
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.