Topology Cooperative Optimization Design of Halbach Interior Permanent Magnet Synchronous Motor Considering Vibration and Noise Suppression
Gao Jianning1, Xu Wei1, Wang Jiyao1, Fang Shuhua1, Liu Xiping2
1. School of Electrical Engineering Southeast University Nanjing 210096 China; 2. School of Electrical Engineering and Automation Jiangxi University of Science and Technology Ganzhou 341000 China
Abstract：Addressing the problem of severe electromagnetic oscillations and disturbances in the synchronous motor of an internal permanent magnet, a kind of motor topology with auxiliary slots in fixed rotor is proposed. Composed of NdFeB and a ferrite mixed permanent magnet, the rotor functions in the Halbach magnetization setting of the permanent magnet section. Firstly, the resolution of the analytical depiction of motor vibration noise resulted in the development of a finite element motor model. Secondly, the suggestion is made for a joint optimization approach in motor topology, integrating parameter sensitivity analysis with the response surface technique. Taking into account the interplay among topological parameters, the optimization of topological structure parameters is conducted as per the suggested approach. Subsequently, the refined motor undergoes a multi-physical field coupling simulation, employing electromagnetic, mechanical, and acoustic fields to capture its vibration and noise characteristics. Comparisons are made between the outcomes of the stator's peak vibration amplitude and the level of noise sound pressure and those from the V-type internal permanent magnet motor. The results suggest that the proposed model can diminish the torque ripple, slot torque, and the intensity of the radial electromagnetic force, based on its ability to ensure the electromagnetic torque, thereby diminishing the motor's vibration intensity and noise pressure intensity. To confirm the motor structure's logic, the rotor's equivalent stress and total deformation in the mechanical field are computed. Firstly, motor rotor topology parameters are intricate, and conventional single structure optimization frequently culminates in an optimization goal, challenging to assess the efficacy of several motors. The optimization of single topological structure parameters will change the specific motor performance objectives, and the coupling optimization of multiple structure parameters will have nonlinear effects on the motor performance owing to alterations in the magnetic field environment of the air gap. Therefore, it is particularly important to consider the synergistic coupling effect of multiple topological parameters on the optimization objective. Simulations of the stator surface's vibration speed and amplitude are conducted within the mechanical environment. Concurrently, the surface's vibrational speed is incorporated into the sound field model, and a model simulating the spread of sound pressure levels due to noise within the air domain, within a 1 m radius of the motor, is conducted. Finally, the data are compared and analyzed to obtain the optimal vibration and noise characteristics of the motor. Aiming at the vibration and noise problem of IPMSM, a topology cooperative optimization scheme combining parameter sensitivity layering and response surface method is proposed in this paper. Initially, the study delves into the theoretical aspects of motor vibration and noise, leading to the construction of a finite element simulation model for motors. Then a hierarchical collaborative optimization method is adopted for multiple topology optimization parameters.Additionally, simulations and analyses of the optimized motor structure's vibration and noise are conducted in a multi-physics field, and juxtaposed with a V-type IPMSM motor. Ultimately, the steadiness of the motor's framework has been confirmed within the machine field.
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2024, Vol. 39 
