Due to the need for developing technology and comfort today, the use of electric motors increases in different fields such as pumps, household appliances, fans, aerospace and mixers. This affects energy consumption and production costs, and ultimately triggered the development of higher performance motors. Because of the multi-parameter designs and nonlinear structure of electric motor, it has become very important the use of multi-objective optimization algorithms in design studies on electric motors. At the same time, real-time simulations are provided by using finite element analysis programs to reduce test costs. This study purposes analysis and multi-objective design optimization of a direct drive permanent magnet synchronous motor with external rotor for low speed and high torque mixer applications. So, the third-generation algorithm NSGAIII was used and compared with the second-generation algorithm NSGAII. To examine both initial design result and optimization results Ansys/Maxwell program was used. According to the initial result, optimized motor geometries provided an efficiency increase of about 3.54% and a cost reduction of about 17%. In addition, the search strategies of both algorithms were compared on motor design parameters.

由于当今对发展技术和舒适性的需求，电动机在诸如泵，家用电器，风扇，航空航天和混合器等不同领域中的使用有所增加。这会影响能源消耗和生产成本，并最终触发了高性能电机的开发。由于电动机的多参数设计和非线性结构，在电动机的设计研究中使用多目标优化算法已变得非常重要。同时，通过使用有限元分析程序提供实时仿真，以降低测试成本。本研究旨在对低速和高扭矩混合器应用中具有外转子的直接驱动永磁同步电动机进行分析和多目标设计优化。所以，使用第三代算法NSGAIII并将其与第二代算法NSGAII进行比较。为了检查初始设计结果和优化结果，使用了Ansys / Maxwell程序。根据最初的结果，优化的电机几何形状可将效率提高约3.54％，并将成本降低约17％。另外，两种算法的搜索策略在电机设计参数上进行了比较。