Open AccessA Survey of the Modeling of Switched Reluctance Machines and their Applications
Author(s) -
Ana Camila Ferreira Mamede,
J.R. Camacho,
Rui Esteves Araújo
Publication year - 2020
Publication title -
u.porto journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2183-6493
DOI - 10.24840/2183-6493_006.001_0003
Subject(s) - switched reluctance motor , torque , rotor (electric) , computer science , control engineering , flux linkage , set (abstract data type) , task (project management) , control theory (sociology) , position (finance) , reluctance motor , modeling and simulation , function (biology) , nonlinear system , linkage (software) , magnetic reluctance , engineering , simulation , artificial intelligence , direct torque control , control (management) , induction motor , magnet , mechanical engineering , voltage , systems engineering , chemistry , biochemistry , gene , biology , quantum mechanics , evolutionary biology , thermodynamics , programming language , physics , finance , electrical engineering , economics
The main objective of modeling a switched reluctance machine is to derive a mathematical function to relate the outputs to the inputs. Due to the nonlinear relationship between the variables of torque, flux linkage, current and angular position of the rotor, Switched Reluctance Machine (SRM) modeling is a very challenging task and an open problem. Modeling is usually done in two situations, modeling a single machine, or modeling a set of machines. Each one must fulfill different requirements. This work presents a survey of different SRM modeling approaches, evaluating its advantages and limitations when modeling a single machine or a set of machines.