Nonlinear Magnetic Model of Surface Mounted PM Machines Incorporating Saturation Saliency

In this paper a comprehensive nonlinear model of surface mounted permanent magnet synchronous machine (SPMSM) is proposed considering both the structural and the saturation saliencies to enable the numerical simulation of new rotor position detection algorithms. With an identifiable parameter matrix, a numerical nonlinear inductance model is developed, in which the rotor position and the stator current are taken as the variables. After experimentally identifying out all the parameters, a nonlinear mathematic model of SPMSM is built up. With all the machine dimensions and physical parameters, finite-element analysis (FEA) is applied to calculate the magnetic field of the machine. FEA and performance simulation results are used to verify the new nonlinear model, which can be further used as a virtual model to develop, simulate, and verify the saturation saliency detection strategies.