基于粒子群优化算法的分区式磁场调制电机多目标优化设计

Multi-objective Optimization Design of Partitioned Stator Flux-modulation Machine with Particle Swarm Optimization Algorithm

  • 摘要: 分区式磁场调制(Partitioned stator flux modulation,PSFM)电机气隙中含有丰富的谐波分量,不可避免产生较多铁耗。而凸极调制齿结构具有抑制铁损的作用,但也对电机其他性能产生一定影响,故采用基于粒子群优化算法的多目标优化设计以得到性能最优的转子拓扑结构。通过分析永磁磁场与电枢反应磁场的谐波耦合过程,基于气隙磁场调制理论,揭示了电磁转矩产生机理。同时,研究了凸极调磁块对电机电磁性能的影响,探明了该拓扑结构在非工作谐波抑制方面的优势。其次,根据转子调磁环拓扑结构参数,以平均转矩、铁耗和转矩脉动为设计目标,结合响应面模型(Response surface methodology,RSM)和粒子群优化算法(Particle swarm optimization,PSO)进行了多目标优化设计。此外,基于有限元仿真,比较了优化前后分区式磁场调制电机的电磁性能,表明所采用方法具有良好的铁损抑制效果。最后,制作了样机并进行测试,验证了理论分析的正确性。

     

    Abstract: The rich harmonic components in the air gap of the partitioned stator flux modulation(PSFM) machine inevitably produce more iron losses. Therefore, it is very important to use multi-objective optimization method to further improve the efficiency of PSFM machines. By analyzing the harmonic coupling process of permanent magnet magnetic field and armature reaction magnetic field, the mechanism of electromagnetic torque generation is revealed based on the air-gap field modulation theory. At the same time, the influence of the salient pole modulation block on the electromagnetic performance is studied, and the advantages of the topology in non-working harmonic suppression are proved. Secondly, according to the topological parameters of the rotor, the average torque, iron loss and torque ripple are taken as the design objectives, and the response surface methodology(RSM) and particle swarm optimization(PSO) are combined to carry out the multi-objective optimization design. In addition, based on the finite element simulation, the electromagnetic performance of the PSFM machine before and after optimization is compared, which shows that the proposed method plays an important role on reducing iron losses. Finally, a prototype is manufactured and tested to verify the correctness of the theoretical analysis.

     

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