For shielding applications that cannot sufficiently be shielded by only a passive shield, it is useful to combine a passive and an active shield. Indeed, the latter does the “finetuning” of the field reduction that is mainly caused by the passive shield. The design requires the optimization of the geometry of the passive shield, the position of all coils of the active shield, and the real and imaginary components of the currents (when working in the frequency domain). As there are many variables, the computational effort for the optimization becomes huge. An optimization using genetic algorithms is compared with a classical gradient optimization and with a design sensitivity approach that uses an adjoint system. Several types of active and/or passive shields with constraints are designed. For each type, the optimization was carried out by all three techniques in order to compare them concerning CPU time and accuracy.

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coils active shield and imaginary components classical gradient optimization field reduction shielding applications genetic algorithms design sensitivity approach adjoint cpu time accuracy frequency geometry active andor passive shields

Roger Van Keer,.Adjoint Variable Method for the Study of Combined Active and Passive Magnetic Shielding. 2008 (),.

Roger Van Keer,"Adjoint Variable Method for the Study of Combined Active and Passive Magnetic Shielding" 2008

Roger Van Keer,"Adjoint Variable Method for the Study of Combined Active and Passive Magnetic Shielding"