Synthesis of speed controllers by the polynomial equations method for an unstable electromechanical object

Abstract The article shows the possibility of synthesis of speed controllers by the polynomial equations method for a two-mass initially unstable object. The instability is caused by the non-linear nature of the friction load with so-called falling section. The low – order and full-order speed controllers with motor speed feedback which provide acceptable quality control indicators are synthesized. Analytical expressions for finding the parameters of the controllers are given, and computer simulations are also presented. A conclusion was made about the preference of using the low-order controller.

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Publication Details

Journal
at - Automatisierungstechnik
Published
2024-11-01
DOI
https://doi.org/10.1515/auto-2024-0092
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
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Synthesis of speed controllers by the polynomial equations method for an unstable electromechanical object

Yevhen Honcharov, Vladyslav Markov
at - Automatisierungstechnik
Electric Power Systems and Control
article

Synthesis of speed controllers by the polynomial equations method for an unstable electromechanical object

Yevhen Honcharov, Vladyslav Markov
article en

Abstract

Abstract The article shows the possibility of synthesis of speed controllers by the polynomial equations method for a two-mass initially unstable object. The instability is caused by the non-linear nature of the friction load with so-called falling section. The low – order and full-order speed controllers with motor speed feedback which provide acceptable quality control indicators are synthesized. Analytical expressions for finding the parameters of the controllers are given, and computer simulations are also presented. A conclusion was made about the preference of using the low-order controller.

at - AutomatisierungstechnikVol. 72(11)
National Technical University "Kharkiv Polytechnic Institute" (UA)
Affordable and clean energy
Openalex Percentile: Top 83%
Electric Power Systems and Control
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