SWARM INTELLIGENCE ALGORITHMS IN PID CONTROLLER TUNING FOR DC DC CONVERTERS

This article presents the development and comparative analysis of proportional integral-derivative (PID) controllers tuned by swarm intelligence algorithms for DC-DC SEPIC converters. Traditional linear PID controllers, which are are utilized widely to control DC-DC converters, exhibit poor performance in control of non-linear DC-DC SEPIC converters under dynamic circumstances. To address the problem, swarm intelligence algorithms are employed to tune PID controllers. Simulations are carried out to assess key performance indicators. Results demonstrate that PID controllers tuned by swarm intelligence algorithms achieved better transient response in comparison with traditional PID controllers.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.57033/tdtu.uz.417
Primary Topic
Induction Heating and Inverter Technology
Type
article
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article

SWARM INTELLIGENCE ALGORITHMS IN PID CONTROLLER TUNING FOR DC DC CONVERTERS

Elvin Yusubov
Induction Heating and Inverter Technology
article

SWARM INTELLIGENCE ALGORITHMS IN PID CONTROLLER TUNING FOR DC DC CONVERTERS

Elvin Yusubov
article en

Abstract

This article presents the development and comparative analysis of proportional integral-derivative (PID) controllers tuned by swarm intelligence algorithms for DC-DC SEPIC converters. Traditional linear PID controllers, which are are utilized widely to control DC-DC converters, exhibit poor performance in control of non-linear DC-DC SEPIC converters under dynamic circumstances. To address the problem, swarm intelligence algorithms are employed to tune PID controllers. Simulations are carried out to assess key performance indicators. Results demonstrate that PID controllers tuned by swarm intelligence algorithms achieved better transient response in comparison with traditional PID controllers.

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Openalex Percentile: Top 75%
Induction Heating and Inverter Technology
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SWARM INTELLIGENCE ALGORITHMS IN PID CONTROLLER TUNING FOR DC DC CONVERTERS — Elvin Yusubov · (2024) | TGRS Research Map | TGRS