Analytical model and performance prediction of induction motors using subdomain technique
E Roshandel, A Mahmoudi… - 2020 IEEE Energy …, 2020 - ieeexplore.ieee.org
2020 IEEE Energy Conversion Congress and Exposition (ECCE), 2020•ieeexplore.ieee.org
In this paper, the magnetic vector potential (MVP) equations are solved for a 5.5-kW radial-
flux induction machine (RFIM) in five subdomains. The proposed modeling technique
considers a uniform distribution of the current density in the rectangular slots of both rotor
and stator. The RFIM is represented using a 2D model in the cylindrical coordinate system.
The magnetic flux distribution in each region which is used to calculate the core losses and
the machine inductances for the steady state analysis of the machine. T-equivalent circuit (T …
flux induction machine (RFIM) in five subdomains. The proposed modeling technique
considers a uniform distribution of the current density in the rectangular slots of both rotor
and stator. The RFIM is represented using a 2D model in the cylindrical coordinate system.
The magnetic flux distribution in each region which is used to calculate the core losses and
the machine inductances for the steady state analysis of the machine. T-equivalent circuit (T …
In this paper, the magnetic vector potential (MVP) equations are solved for a 5.5-kW radial-flux induction machine (RFIM) in five subdomains. The proposed modeling technique considers a uniform distribution of the current density in the rectangular slots of both rotor and stator. The RFIM is represented using a 2D model in the cylindrical coordinate system. The magnetic flux distribution in each region which is used to calculate the core losses and the machine inductances for the steady state analysis of the machine. T-equivalent circuit (T-EC) is considered to study the machine performance parameters. The rotor and stator resistances are calculated based on the geometry of the machine. The results demonstrate the accuracy of the model in prediction of the airgap flux density. The comparison of the machine performance parameters with the 2D FEA results demonstrate the reliability of the analytical model in the prediction of the machine behavior at the rated condition.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果