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Comparative analysis of switched reluctance motor control algorithms

https://doi.org/10.17586/2226-1494-2023-23-2-390-402

Abstract

Nowadays it has become possible to develop inexpensive modern control systems for nonlinear complexity electromechanical objects due to the development of microprocessor technology and power electronics. Switched reluctance electric machines are among these devices. It makes it possible to widely use such electric machines in various practical implementations, in particular, in traction drives, electric drives of oil and gas drilling rigs, and in other applications. The switched reluctance electric machine is a non-linear object, and its control methods require formalization and grouping. The manuscript considers the design and functional features of switched reluctance electrical machines. The main methods of controlling these electrical machine types are given. Comparative analysis of the most known methods is carried out. The main classical methods of switched reluctance electric machine control are considered, such as a relay current controller with a limitation, the method of controlling the turn on/off angles and controlling the DC link voltage. Transient responses in the electric drive system are demonstrated using the considered methods. It is shown that by adjusting the on/off angles, it is possible to reduce the torque oscillation coefficient. The identified features of the presented methods will make it possible to simplify and reduce the development time for an effective control system for switched reluctance electrical machines as well as to reduce the torque ripple.

About the Authors

G. L. Demidova
ITMO University
Russian Federation

Galina L. Demidova — PhD, Associate Professor
Saint Petersburg, 197101

sc 56974083200



Y. D. Derbikov
ITMO University
Russian Federation

Yan D. Derbikov — Student

Saint Petersburg, 197101



F. S. Petrikov
ITMO University
Russian Federation

Fedor S. Petrikov — Student

Saint Petersburg, 197101



D. V. Lukichev
ITMO University
Russian Federation

Dmitry V. Lukichev — PhD, Associate Professor
Saint Petersburg, 197101

sc 6507090891



R. Strzelecki
Gdańsk University of Technology
Poland

Ryszard Strzelecki — D.Sc., Full Professor

Gdańsk, 80-233

sc 7003422441



A. S. Anuchin
Moscow Power Engineering Institute
Russian Federation

Alecksey S. Anuchin — D.Sc., Associate Professor, Head of Department
 Moscow, 111250

sc 56168843400



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For citations:


Demidova G.L., Derbikov Y.D., Petrikov F.S., Lukichev D.V., Strzelecki R., Anuchin A.S. Comparative analysis of switched reluctance motor control algorithms. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2023;23(2):390-402. (In Russ.) https://doi.org/10.17586/2226-1494-2023-23-2-390-402

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ISSN 2226-1494 (Print)
ISSN 2500-0373 (Online)