Comparison of Fuzzy Logic and <scp>PID</scp> Control in H‐Bridge Inverter: Performance Analysis and Response Optimization

ABSTRACT The field of electrical power systems, particularly power conversion systems, is a domain that is undergoing continuous development to enhance efficiency and performance. Inverters are extensively utilized in the conversion of direct current to alternating current in a multitude of applications, necessitating precise control to optimize their performance. Among the most prevalent control strategies is proportional integral differential control (PID), which relies on a linear response to error, directs it, and is efficacious in numerous applications. However, it encounters challenges in non‐linear or variable systems. In contrast, Fuzzy logic control (FLC) offers a more adaptable response to nonlinear and complex systems, such as inverters. This paper aims to compare the system performance of PID and FLC for controlling an H‐bridge inverter by analyzing their performance in improving the system response. The proposed FLC alleviates the performance trade‐offs, reducing RMSE by (nominal) and (variable load) and lowering THD by and , while maintaining voltage regulation within ±0.47 V (0.55%) in the nominal case and ±0.38 V (0.45%) in the variable‐load case around 85 V.

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Publication Details

Journal
Engineering Reports
Published
2026-02-01
DOI
https://doi.org/10.1002/eng2.70644
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Comparison of Fuzzy Logic and PID Control in H‐Bridge Inverter: Performance Analysis and Response Optimization

Ali Elrashidi, Baraa Taha, Ayad Q. Al‐Dujaili, Eduardo Campos Mercado et al.
Engineering Reports
Microgrid Control and Optimization
article

Comparison of Fuzzy Logic and PID Control in H‐Bridge Inverter: Performance Analysis and Response Optimization

Ali Elrashidi, Baraa Taha, Ayad Q. Al‐Dujaili, Eduardo Campos Mercado, Wulfran Fendzi Mbasso
article en

Abstract

ABSTRACT The field of electrical power systems, particularly power conversion systems, is a domain that is undergoing continuous development to enhance efficiency and performance. Inverters are extensively utilized in the conversion of direct current to alternating current in a multitude of applications, necessitating precise control to optimize their performance. Among the most prevalent control strategies is proportional integral differential control (PID), which relies on a linear response to error, directs it, and is efficacious in numerous applications. However, it encounters challenges in non‐linear or variable systems. In contrast, Fuzzy logic control (FLC) offers a more adaptable response to nonlinear and complex systems, such as inverters. This paper aims to compare the system performance of PID and FLC for controlling an H‐bridge inverter by analyzing their performance in improving the system response. The proposed FLC alleviates the performance trade‐offs, reducing RMSE by (nominal) and (variable load) and lowering THD by and , while maintaining voltage regulation within ±0.47 V (0.55%) in the nominal case and ±0.38 V (0.45%) in the variable‐load case around 85 V.

Engineering ReportsVol. 8(2)
Applied Science Private University (JO), University of Douala (CM), Middle Technical University (IQ), University of Business and Technology (SA), Saveetha University (IN), Universidad del Istmo (GT)
Affordable and clean energy
Openalex Percentile: Top 53%
Microgrid Control and Optimization
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Comparison of Fuzzy Logic and <scp>PID</scp> Control in H‐Bridge Inverter: Performance Analysis and Response Optimization — Ali Elrashidi, Baraa Taha, et al. · Engineering Reports (2026) | TGRS Research Map | TGRS