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Robust control for a tracking electromechanical system

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 5 (2022)

DOI
10.11591/ijece.v12i5.pp4883-4891
ISSN
2722-2578, 2088-8708
Published
2022-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

A strategy for the design of robust control of tracking electromechanical systems based on 𝐻∞ synthesis is proposed. Proposed methods are based on the operations on frequency characteristics of control systems designed and developed using the MATLAB robust control toolbox. Determination of the singular values for a transfer matrix of the control system reduces the disturbances and guarantees its stability margin. For selecting the weighted transfer functions, the basic recommendations are formulated. The efficiency of the proposed approach is verified by robust control of an elastically coupled two-mass system whose parameter values are adjusted by matching them with the parameters of one of the supplied robots. The simulation results confirm that the proposed strategy of design of robust control of two-mass elastic coupling system using the 𝐻∞ synthesis is very efficient and significantly reduces the perturbation of parameters of the controlled plant.

Collaboration network of the authors

8 authors · 14 co-authorship links

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  • L. N. Gumilyov Eurasian National University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Amirzhanova Zinara BekbolatovnaL. N. Gumilyov Eurasian National University1
Mashtayeva Aida AssilkhanovnaAffiliation unknown1
Aida DabayevaL. N. Gumilyov Eurasian National University1
Nurgul KissikovaL. N. Gumilyov Eurasian National University1
Gulzhan UskenbayevaL. N. Gumilyov Eurasian National University1
Aliya ShukirovaL. N. Gumilyov Eurasian National University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
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