Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model

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.