Topology Optimization of Magnetic Actuator based on Reluctance Network Modeling and Adjoint Variable Method
Résumé
Topology Optimization (TO) has great significance in primarily the concept design of a product. In the electrical engineering community, conventional topology optimization is usually based on a spatial discretization that also is used as the mesh for Finite Element Analysis (FEA). In this paper, we proposed to use a local equivalent circuit modeling method-Reluctance Network Analysis (RNA). Afterward, a gradient-based optimization algorithm, line search method, was chosen as the optimizer where the sensitivity information was calculated by Adjoint Variable Method (AVM). Finally, the feasibility of this model for topology optimization was verified through a case study of a magnetic actuator.
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