This paper presents a probabilistic optimal design for electromagnetic systems. A 2D magnetostatic finite element model is constructed for a reliability‐based topology optimization (RBTO). Permeability, coercive force, and applied current density are considered as uncertain variables. The uncertain variable means that the variable has a variance on a certain design point. In order to compute reliability constraints, a performance measure approach is widely used. To find reliability index easily, the limit‐state function is linearly approximated at each iteration. This approximation method is called the first‐order reliability method, which is widely used in reliability‐based design optimizations. To show the effectiveness of the proposed method, RBTO for the electromagnetic systems is applied to magnetostatic problems.
Kang, J., Kim, C. and Wang, S. (2004), "Reliability‐based topology optimization for electromagnetic systems", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 23 No. 3, pp. 715-723. https://doi.org/10.1108/03321640410540647
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