A Comparative Study on Modeling Methods for Switched Reluctance Machines
Author(s) -
Shoujun Song,
Weiguo Liu
Publication year - 2010
Publication title -
computer and information science
Language(s) - English
Resource type - Journals
eISSN - 1913-8997
pISSN - 1913-8989
DOI - 10.5539/cis.v3n2p205
Subject(s) - switched reluctance motor , computer science , torque , flux linkage , nonlinear system , coupling (piping) , linkage (software) , multivariable calculus , control theory (sociology) , reluctance motor , magnetic reluctance , control engineering , direct torque control , artificial intelligence , mechanical engineering , control (management) , induction motor , biochemistry , physics , chemistry , quantum mechanics , voltage , gene , engineering , thermodynamics , magnet
Switched reluctance motor (SRM) has many specific advantages and has being gradually used in all kinds of applications. However, because it’s inherently multivariable, strong-coupling and highly nonlinear, there are lots of difficulties to build its model. In this paper, many modeling methods include numerical, analytical and intelligent approaches are studied and compared in terms of complexity and accuracy. The static flux linkage and torque characteristics obtained by each method are given. The advantages and disadvantages of each method are summarized as well.
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