Optimal Design Method Based on Magnetic Material Distributions Using Multi Step Genetic Algorithm with Reduced Design Space

摘要

Topology optimization with material ON-OFF information in an element is one of the most attractive tools in initial conceptual and practical design of electrical machinery for engineers. Heuristic algorithms based on random search allow the engineers to define the general-purpose objective function, however, there are many iterations of finite element analysis, and it is difficult to realize the practical solution without island and void distribution. This paper presents the topological optimal design method based on the magnetic material distribution using genetic algorithm (GA). Proposed method can arrive at the practical solution with the multi-step utilization of GA, and the convergence speed is remarkably improved by using the combination of design space reduction against the conventional GA.