Open AccessA mathematical model of switched-reluctance motor drive for electrical spindle in synthetic yarn machine
Author(s) -
Pavel Kolpakhchyan,
A. E. Kochin,
Boris Lobov,
О. А. Перегудов
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/680/1/012027
Subject(s) - switched reluctance motor , correctness , flux linkage , control theory (sociology) , convergence (economics) , magnetic reluctance , computer science , linkage (software) , yarn , control engineering , engineering , mechanical engineering , algorithm , induction motor , direct torque control , electrical engineering , artificial intelligence , voltage , biochemistry , chemistry , control (management) , rotor (electric) , gene , economics , magnet , economic growth
The article deals with the modeling of switched-reluctance drive motor for electrical spindle in synthetic yarn machine. We propose to use the backward differentiation formula to solve a system of algebraic-differential equations that governs electromagnetic processes in switched-reluctance electrical machine. The considered approach allows us to avoid the use of numerical differentiation of current and turning angle dependence of the phase flux linkage. As a result, the mathematical model does not significantly depends on basic data and has good convergence. This article shows the switched-reluctance electrical machine modeling. The use of method proves the correctness of the chosen approach