Open AccessImproved general modelling method of SRMs based on normalised flux linkage
Author(s) -
Li Yiqian,
Ma Qishuang,
Xu Ping
Publication year - 2020
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2019.0268
Subject(s) - flux linkage , linkage (software) , switched reluctance motor , flux (metallurgy) , basis (linear algebra) , magnetic flux , finite element method , artificial neural network , computer science , control theory (sociology) , rotor (electric) , engineering , mathematics , physics , artificial intelligence , magnetic field , mechanical engineering , structural engineering , chemistry , induction motor , geometry , organic chemistry , voltage , biochemistry , direct torque control , control (management) , quantum mechanics , electrical engineering , gene
The modelling of a switched reluctance motor (SRM) is indispensable owing to its inherent non‐linear characteristics. In this study, a general flux linkage model for SRMs developed by normalising the magnetic saturation levels and magnetic structures are described. On the basis of this general model, entire flux linkage characteristics of a specific SRM can be calculated easily with only need for the flux linkage at the aligned and unaligned rotor positions. In addition, a radial basis function neural network is adopted for high‐precision modelling of the general flux linkage model. The flux linkage characteristics of five prototype motors were also analysed using both the finite element method and the proposed general modelling strategy. The results demonstrate perfect agreement, which verify the feasibility and practicality of the proposed general modelling method.