The advent of electrified aviation has ushered in a greater need for energy efficient, power dense, reliability-oriented design of power conversion systems. Conventionally, the entire design process consumes large quantities of time, effort, and engineering resources. To address this problem, this paper proposes a genetic algorithm enabled multi-objective design optimization framework by which one can quickly generate many iterations of a back-to-back current source converter for turboelectric aircraft propulsion systems. The automated design methodology can locate optimal trade-offs between design objectives (i.e., reliability, power density, energy efficiency, cost, etc.) and generate the Pareto front for a user-specified optimization problem.


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    Title :

    Genetic Algorithm Enabled Multi-Objective Design Optimization of Current Source Converters for Turboelectric Aircraft Propulsion


    Contributors:


    Publication date :

    2023-11-28


    Size :

    5610805 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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