Optimizing Proportional Integral (PI) Controller Using Particle Swarm Optimization (PSO) Method in Active Rectifier

In the era of Industry 4.0, power converters such as Active Rectifiers have become crucial for converting AC voltage to adjustable DC voltage. While implementing a DC Constant Power Load is beneficial, it introduces additional complexity in maintaining power system stability. This research optimizes PI control on Active Rectifiers using the PSO method to address this challenge. The results indicate that the PI controller optimized with PSO achieved a Kp of 0.4509 and a Ki of 2.7611 in tests with resistive loads, and a Kp of 3.1364 and a Ki of 6.8141 in tests with constant power loads. Using constant power loads showed a faster response with lower rise time but often resulted in higher overshoot compared to resistive loads. Nevertheless, both testing conditions demonstrated a stable system without undershoot, confirming the effectiveness of the PI-PSO controller in optimizing the performance of active rectifiers for more responsive and efficient power electronics applications.

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Publication Details

Journal
Journal of Electrical Technology UMY
Published
2025-04-16
DOI
https://doi.org/10.18196/jet.v8i1.22736
Citations
2
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
2.43
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article

Optimizing Proportional Integral (PI) Controller Using Particle Swarm Optimization (PSO) Method in Active Rectifier

Iwan Setiawan, Trias Andromeda, Muhammad Fahril Anam
2 citations
Journal of Electrical Technology UMY
Advanced Control Systems Design
2.43
article

Optimizing Proportional Integral (PI) Controller Using Particle Swarm Optimization (PSO) Method in Active Rectifier

Iwan Setiawan, Trias Andromeda, Muhammad Fahril Anam
article en
2 citations

Abstract

In the era of Industry 4.0, power converters such as Active Rectifiers have become crucial for converting AC voltage to adjustable DC voltage. While implementing a DC Constant Power Load is beneficial, it introduces additional complexity in maintaining power system stability. This research optimizes PI control on Active Rectifiers using the PSO method to address this challenge. The results indicate that the PI controller optimized with PSO achieved a Kp of 0.4509 and a Ki of 2.7611 in tests with resistive loads, and a Kp of 3.1364 and a Ki of 6.8141 in tests with constant power loads. Using constant power loads showed a faster response with lower rise time but often resulted in higher overshoot compared to resistive loads. Nevertheless, both testing conditions demonstrated a stable system without undershoot, confirming the effectiveness of the PI-PSO controller in optimizing the performance of active rectifiers for more responsive and efficient power electronics applications.

Journal of Electrical Technology UMYVol. 8(1)
Diponegoro University (ID)
Openalex Percentile: Top 12%
Advanced Control Systems Design
2.43
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