Modeling for switched reluctance motor based on flux linkage and torque characteristics

A novel mathematic model for switched reluctance motor (SRM) was proposed. The Fourier series expression and curve fitting method were used to model the flux linkage according to the inductance data of five positions, then the torque characteristics were sought out via the principle of virtual displacement, and adaptive network-based fuzzy inference system (ANFIS) was utilized to train the torque-angle model. The simulation and experiment were carried out comparatively on SRM with six stator poles and four rotor poles based on the nonlinear flux linkage model and torque-angle model of ANFIS to demonstrate the both coincidence with a maximal error lower than 5%. And the method is expected to apply to SRM flux linkage control and torque control to provide the basis for engineering design and debugging.