Abstract
In this paper, a multi-objective optimal design of brushless permanent magnet (PM) motor is presented in terms of power density and efficiency. In this regard, the sizing equation of the design and motor dimensions is investigated. Then, an optimum design based on genetic algorithm (GA) with the purpose of increasing combination of power density and efficiency is introduced. Results obtained from optimization process of brushless PM motor are evaluated using a 3D numerical program based on finite element analysis (FEA). Finally, the comparative study with Bat algorithm (BA) has been done to show the applicability of the design.
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