Optimum design of permanent magnet synchronous generator based on MaxPro sampling and kriging surrogate model

In order to improve the efficiency and quality of a permanent magnet synchronous generator (PMSG) for vehicles, the parametric model and finite‐element model of the generator are established. The influence of seven structure parameters on three performance parameters is obtained by simulation analys...

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Veröffentlicht in:	IEEJ transactions on electrical and electronic engineering 2020-02, Vol.15 (2), p.278-290
Hauptverfasser:	Zeng, Fanqi, Bu, Jianguo, Yu, Yan, Bian, Haoran, Yang, Lei, Zi, Xinyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Computer simulation Design optimization Design parameters Forecasting Genetic algorithms Kriging Kriging surrogate model MaxPro sampling multiobjective optimization Multiple objective analysis NSGA‐II Parameter sensitivity Pareto optimization Performance enhancement Permanent magnets PMSG Sampling methods Sensitivity analysis Sorting algorithms Test procedures
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