Modeling analysis of switched reluctance motor with ANFIS and D-FNN

This paper gives some research about the modeling of Switched Reluctance Motor(SRM). Adaptive network fuzzy inference system(ANFIS) is first used to model the inductance and the torque of SRM. Then the dynamic fuzzy neural network(D-FNN) is applied to model the inductance and the flux linkage of SRM. Compared these two kinds of modeling methods, it is obvious although the D-FNN method can realize the online study, but it is not as accurate as ANFIS.