A novel approach for efficiency and power density optimization of an Axial Flux Permanent Magnet generator through genetic algorithm and finite element analysis
作者： Narges Taran , Mohammad Ardebili
DOI: 10.1109/ISIE.2014.6864699
关键词:
摘要: This study puts forth a multi-objective optimization of the efficiency and power density low speed Axial Flux Permanent Magnet (AFPM) synchronous generator with output rated amplitude 1 kW 100 rpm. Firstly, brief review different AFPM machine topologies has been provided double sided interior slotted stator (known as TORUS-S) structure selected most suitable for current application. The problem was formulated by means general sizing equations then genetic algorithm utilized. Innovatively, this introduces novel fitness function its original contribution which offers tool ascertaining priority objective functions. includes two variables whereby an increase in either them leads to more improvement one functions than other. merits method are especially palpable situations where it is necessary prioritize indeed case generators used wind turbines should have not only high but also reduced weight volume. Finally, results verified through three dimensional Finite Element Method.
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