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Multi-Objective Optimal Design of Electro-Hydrostatic Actuator Driving Motors for Low Temperature Rise and High Power Weight Ratio

机译:电静压致动器驱动电机的多目标最优设计,用于低温升高和高功率重量比

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摘要

With the rapid development of technology, motors have drawn increasing attention in aviation applications, especially in the more electrical aircraft and all electrical aircraft concepts. Power weight ratio and reliability are key parameters for evaluating the performance of equipment applied in aircraft. The temperature rise of the motor is closely related to the reliability of the motor. Therefore, based on Taguchi, a novel multi-objective optimization method for the heat dissipation structural design of an electro-hydrostatic actuator (EHA) drive motor was proposed in this paper. First, the thermal network model of the EHA drive motor was established. Second, a sensitivity analysis of the key parameters affecting the cooling performance of the motor was conducted, such as the thickness of fins, the height of fins, the space of fins, the potting materials and the slot fill factor. Third, taking the average temperature of the windings and the power weight ratio as the optimization goal, the multi-objective optimal design of the heat dissipation structure of the motor was carried out by applying Taguchi. Then, a 3-D finite element model of the motor was established and the steady state thermal analysis was carried out. Furthermore, a prototype of the optimal motor was manufactured, and the temperature rise under full load condition tested. The result indicated that the motor with the optimized heat dissipating structure presented a low temperature rise and high power weight ratio, therefore validating the proposed optimization method.
机译:随着技术的快速发展,电机在航空应用中引起了越来越关注,特别是在更多的电气飞机和所有电气飞机概念中。功率重量比和可靠性是评估飞机中施用的设备性能的关键参数。电动机的温度升高与电动机的可靠性密切相关。因此,基于Taguchi,本文提出了一种用于电静压致动器(EHA)驱动马达的散热结构设计的新型多目标优化方法。首先,建立了EHA驱动电机的热网络模型。其次,进行影响电动机冷却性能的关键参数的灵敏度分析,例如翅片的厚度,翅片的高度,翅片的空间,灌封材料和槽填充因子。第三,采用绕组的平均温度和功率重量比作为优化目标,通过应用Taguchi进行电动机的散热结构的多目标最佳设计。然后,建立了电动机的3-D有限元模型,并进行稳态热分析。此外,制造了最佳电机的原型,并在全负载条件下进行温度升高。结果表明,具有优化散热结构的电动机呈现低温升高和高功率重量比,因此验证了所提出的优化方法。

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