A Data-Driven Automatic Design Method for Electric Machines Based on Reinforcement Learning and Evolutionary Optimization

The design problems of electric machines are actually treated as a kind of mixed-integer problem, because the machine shapes are defined by some integer variables, such as number of slots, and the other variables, such as the tooth width, which are here called the fundamental and shape variables, re...

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Bibliografiska uppgifter
Huvudupphovsmän: Takahiro Sato, Masafumi Fujita
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2021-01-01
Serie:IEEE Access
Ämnen:
Länkar:https://ieeexplore.ieee.org/document/9427216/