Abstract
A large number of design parameters are taken
into consideration in arriving at the optimum design of a
magnetic component. Extensive studies carried out in the area
of magnetic design optimization have shown that as many as
forty parameters can govern the quality of a magnetic design.
Most of these parameters can take over two hundred values each
making countless possible design permutations for a particular
application. A human designer can eliminate a large number of
these permutations with expert knowledge experience, which is
not necessarily the best converging approach to the most
optimum design. This paper explains an artificial intelligencebased design approach that supersedes an experienced human
designer.
into consideration in arriving at the optimum design of a
magnetic component. Extensive studies carried out in the area
of magnetic design optimization have shown that as many as
forty parameters can govern the quality of a magnetic design.
Most of these parameters can take over two hundred values each
making countless possible design permutations for a particular
application. A human designer can eliminate a large number of
these permutations with expert knowledge experience, which is
not necessarily the best converging approach to the most
optimum design. This paper explains an artificial intelligencebased design approach that supersedes an experienced human
designer.
| Original language | English |
|---|---|
| Publication status | Published - 2022 |
| Event | International Conference of Electrical and Electronics Engineering - London, UK Duration: 6 Jul 2022 → 8 Jul 2022 |
Conference
| Conference | International Conference of Electrical and Electronics Engineering |
|---|---|
| Period | 6/07/22 → 8/07/22 |