Modeling of Switched Reluctance Motor Based on Dynamic Fuzzy Neural Network

Ai De Xu; Shan Shan Zhang; Di Sun

doi:10.4028/www.scientific.net/AMM.220-223.665

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Modeling of Switched Reluctance Motor Based on...

Modeling of Switched Reluctance Motor Based on Dynamic Fuzzy Neural Network

Abstract:

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 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.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

665-668

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.665

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Online since:

November 2012

Authors:

Ai De Xu, Shan Shan Zhang, Di Sun

Keywords:

Dynamic Fuzzy Neural Network, Modeling, Switched Reluctance Motor (SRM)

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