Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller

The study paper concentrates on the development and execution of a system for an AC to DC conversion, then followed by an electric vehicle (EV) charger. It enhances the significant power factor of the power source while minimizing distortion from harmonics. The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. Optimize the KP and KI settings of the PI controller and the weighting matrix Q of the linear quadratic controller. The suggested improvement is executed using MATLAB applications, and the modeling results indicate a reduction in settling duration, rapid recovery from input and output fluctuations, decreased Total Harmonic Distortion (THD), and increased permanency.

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Publication Details

Journal
Edison journal for electrical and electronics engineering.
Published
2025-04-25
DOI
https://doi.org/10.62909/ejeee.2025.002
Citations
2
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
2.43
Controls
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article

Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller

Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi
2 citations
Edison journal for electrical and electronics engineering.
Real-time simulation and control systems
2.43
article

Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller

Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi
article en
2 citations

Abstract

The study paper concentrates on the development and execution of a system for an AC to DC conversion, then followed by an electric vehicle (EV) charger. It enhances the significant power factor of the power source while minimizing distortion from harmonics. The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. Optimize the KP and KI settings of the PI controller and the weighting matrix Q of the linear quadratic controller. The suggested improvement is executed using MATLAB applications, and the modeling results indicate a reduction in settling duration, rapid recovery from input and output fluctuations, decreased Total Harmonic Distortion (THD), and increased permanency.

Edison journal for electrical and electronics engineering.
Karabük University (TR), Islamic University of Lebanon (LB)
Openalex Percentile: Top 12%
Real-time simulation and control systems
2.43
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