Fast Calculation of Electromagnetic Forces in IPMSMs Under PWM VSI Supply Based on Small-Signal Time-Harmonic Finite Element Method

作     者：Sa Zhu Jianbo Lu Feng Zeng Sa Zhu;Jianbo Lu;Feng Zeng

作者机构：IEEE College of Energy and Electrical EngineeringHohai UniversityNanjing211100China 

出 版 物：《CES Transactions on Electrical Machines and Systems》 (中国电工技术学会电机与系统学报（英文）)

年 卷 期：2022年第6卷第1期

页      面：67-76页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：supported in part by the National Natural Science Foundation of China under projects 51907053 by Natural Science Foundation of Jiangsu Province of China under Project BK20190489 by the Fundamental Research Funds for the Central Universities under grant B200202167 by the China Postdoctoral Science Foundation under grant no.2019M661708 

主　　题：Time-harmonic finite element analysis(THFEA) Interior permanent magnet synchronous machines(IPMSMs) Electromagnetic forces Pulse width modulation Vibration and acoustic noise 

摘      要：This paper introduces a novel method for fast calculating the electromagnetic forces in interior permanent magnet synchronous machines(IPMSMs)under pulse width modulation(PWM)voltage source inverter(VSI)supply based on the small-signal time-harmonic finite element analysis(THFEA),which has been successfully utilized for fast calculating the PWMinduced losses in silicon steel sheets and permanent *** on the small-signal THFEA,the functional relationships between high-frequency harmonic voltages(HFHVs)and corresponding airgap flux densities are established,which are used for calculating the flux density spectra caused by each HFHV in the PWM voltage ***,the superposition principle is applied for calculating the flux density spectra caused by fundamental currents and all HFHVs,which are converted to the electromagnetic force spectra at *** relative errors between the force density spectra calculated with the proposed method and those obtained from traditional time-stepping finite element analysis(TSFEA)using PWM voltages as input are within 3.1%,while the proposed method is 24 times faster than the traditional TSFEA.