A Novel Nonlinear Modeling Method for Permanent-Magnet Synchronous Motors

A field-circuit-coupled parameter adaptive modeling method for a permanent magnet synchronous motor is proposed in this paper. The model combines the merits of a mathematical model and a magnetic field model. It takes into consideration the magnetic saturation, current harmonics, cross coupling, eddy current, and hysteresis loss effect in terms of the corresponding adaptive parameters obtained from the JMAG-finite element analysis (JMAG-FEA) tool in the model. To validate the effectiveness of the proposed model, three modeling methods are comparatively studied through an offline simulation. In addition, a hardware-in-the-loop experiment platform is built combining one DSP-based controller and a dSPACE-based controller, where the three models are located. The results of both, the simulation and HIL experiment, demonstrate the accuracy of the proposed model and the feasibility of the integration scheme of motor design and control. Moreover, the proposed model approximates the actual machine well and can be customized conveniently according to different requirements.