Fourier series and ANFIS-based modeling and prediction for switched reluctance motor

This paper proposes a mathematic nonlinear model of phase flux linkage in terms of Fourier series expression and a phase torque model based on adaptive neural fuzzy inference system (ANFIS) to a 6/4 switched reluctance motor(SRM). The novel model for SRM and the switched reluctance drive system based on Matlab/simulink is developed. The various control strategies, such as the chopped current control (CCC), the angular position control (APC), are discussed and illustrated. The simulation and experiment were carried out comparatively on a 6/4 SRM based on the nonlinear flux linkage model and torque-angle model of ANFIS to demonstrate both the coincidence with a maximal error lower than 5%. The method is expected to apply to SRM flux linkage control and torque control to provide the basis for engineering design and debugging.