Modeling of Switched Reluctance Motor Based on Dynamic Fuzzy Neural Network

摘要

This paper proposed a novel mathematic model for switched reluctance motor(SRM): dynamic fuzzy neural network(D-FNN) was used to model for SRM based on the inductance characteristics, namely experimentally measured L(θ, i) sample data. Compared with other modeling method, the inductance based on D-FNN can be trained on line and has the advantages of compact system structure and strong generalization ability. The SRM system is simulated with the trained inductance model. Compared with the actual system, the current waves are similar. This proves the new modeling method is correct and feasible.