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作 者:Changbin Li Xiuhe Wang Feng Liu Jie Ren Zezhi Xing Xinwei Gu
机构地区:[1]School of Electrical Engineering,Shandong University,Jinan 250061,China
出 处:《CES Transactions on Electrical Machines and Systems》2022年第2期135-144,共10页中国电工技术学会电机与系统学报(英文)
基 金:This work was supported in part by the National Natural Science Foundation of China under Grant 51737008.
摘 要:In this paper,the equivalent reluctance network model(ERNM)is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor(PMASynRM)and calculate no-load air-gap magnetic field and electromagnetic torque.Iteration method is used to solve the relative permeability of iron core.A novel reluctance network model based on actual distribution of the magnetic flux inside the motor is established.The magnetomotive force(MMF)generated by armature winding affects the relative permeability of iron core,which is considered in the calculation of ERNM to improve the accuracy when the motor is under load.ERNM can be used to measure air-gap flux density,no-load back electromotive force(EMF),the average value of motor torque,the armature winding voltage under load,and power factor.The method of calculating the motor performance is proposed.The results of calculation are consistent with finite element method(FEM)and the computational complexity is much less than that of the FEM.The results of ERNM has been verified,which will provide a simple method for motor design and analysis.
关 键 词:Permanent magnet-assisted synchronous reluctance motor(PMASynRM) Equivalent reluctance network model(ERNM) Air-gap flux density No-load back electromotive force(EMF) TORQUE
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