基于Kriging-PSO算法的双转子PCB轴向磁通电机优化设计与分析

Axial Magnetic Flux of Dual Rotor PCB Based on Kriging-PSO Algorithm Optimization Design and Analysis of Motor

  • 摘要: 电动垂直起降飞行器(eVTOL)对驱动电机提出了轻量化、平稳运行与高效率的严苛要求,传统径向磁通电机虽具有制造工艺成熟、机械结构可靠和成本低等优点,但存在重量体积较大,效率、转矩密度与功率密度较低等问题。针对上述问题,提出一种双转子结构的PCB轴向磁通Halbach永磁同步电机(PCB-AH-PMSM)设计与多目标优化方法,以实现电机轻量化结构与平稳运行,提高电机转矩与运行效率。首先,建立电机有限元分析(Finite element analysis,FEA)模型,系统分析其电磁特性,验证了初始设计的合理性;然后,采取拉丁超立方抽样(Latin hypercube sampling,LHS)方法对优化变量抽样并进行全局灵敏度分析筛选出关键影响参数;最后,基于Kriging模型构建高精度响应面,以输出转矩、转矩脉动、涡流损耗和电磁效率作为优化目标,采用粒子群算法(Particle swarm optimization,PSO)开展多目标优化,并且将代理模型结果与FEA进行对比分析。优化后,电机输出转矩提升34.87%、转矩脉动降低45.45%、涡流损耗降低8.1%、电磁效率提升2.01%,证实了所提优化方法的有效性、准确性与可行性,为eVTOL及其他对重量、运行平稳性和效率较为敏感的航空航天驱动系统提供了高效可靠的电机解决方案。

     

    Abstract: Electric vertical take-off and landing aircraft(eVTOL) puts forward strict requirements for light weight, stable operation and high efficiency of the drive motor. Although the traditional radial flux motor has the advantages of mature manufacturing process, reliable mechanical structure and low cost, it has the problems of large weight and volume, low efficiency, torque density and power density. In view of the above problems, a design and multi-objective optimization method of PCB axial flux Halbach permanent magnet synchronous motor(PCB-AH-PMSM) with double rotor structure is proposed, so as to realize the lightweight structure and smooth operation of the motor, and improve the torque and operation efficiency of the motor. Firstly, the finite element analysis(FEA) model of the motor is established, and its electromagnetic characteristics are systematically analyzed to verify the rationality of the initial design. Then, the Latin hypercube sampling(LHS) method is used to sample the optimization variables and the global sensitivity analysis is carried out to screen out the key influencing parameters. Finally, a high-precision response surface is constructed based on the Kriging model. The output torque, torque ripple, eddy current loss and electromagnetic efficiency are taken as the optimization objectives. Particle swarm optimization(PSO) is used to carry out multi-objective optimization, and the results of the surrogate model are compared with those of FEA. After optimization, the output torque of the motor is increased by 34.87%, the torque ripple is reduced by 45.45%, the eddy current loss is reduced by 8.1%, and the electromagnetic efficiency is increased by 2.01%, which proves the effectiveness, accuracy and feasibility of the optimization method. It provides an efficient and reliable motor solution for eVTOL and other aerospace drive systems that are sensitive to weight, running stability and efficiency.

     

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