Title :
Modeling analysis of switched reluctance motor with ANFIS and D-FNN
Author_Institution :
Coll. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
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.
Keywords :
fuzzy neural nets; fuzzy reasoning; power engineering computing; reluctance motors; ANFIS method; D-FNN method; SRM modeling analysis; adaptive network fuzzy inference system; dynamic fuzzy neural network; flux linkage; inductance modeling; switched reluctance motor; torque modeling; Adaptation models; Inductance; Mathematical model; Switched reluctance motors; Torque;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013558
