Fractional-Order PID Controller: A Tuning Evaluation Using Bio-Inspired Optimization Methods

This study explores the use of biology-inspired opti-mization methods to improve the performance of fractional-order PID controllers. By fine-tuning these controllers' parameters with various bioinspired techniques, the research enhances control performance, including stability and transient response. The study evaluates the effectiveness and efficiency of these optimization methods, providing valuable information to engineers and researchers working with nonlinear and uncertain systems. In addition, it contributes to the growing body of knowledge on the application of bioinspired optimization in control engineering.

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Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735886
Citations
1
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.33
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article

Fractional-Order PID Controller: A Tuning Evaluation Using Bio-Inspired Optimization Methods

Óscar Camacho, Noel Pérez, Juan J. Gude, Diego S. Benítez et al.
1 citations
Advanced Control Systems Design
0.33
article

Fractional-Order PID Controller: A Tuning Evaluation Using Bio-Inspired Optimization Methods

Óscar Camacho, Noel Pérez, Juan J. Gude, Diego S. Benítez, Marco Herrera, Luis Caiza
article en
1 citations

Abstract

This study explores the use of biology-inspired opti-mization methods to improve the performance of fractional-order PID controllers. By fine-tuning these controllers' parameters with various bioinspired techniques, the research enhances control performance, including stability and transient response. The study evaluates the effectiveness and efficiency of these optimization methods, providing valuable information to engineers and researchers working with nonlinear and uncertain systems. In addition, it contributes to the growing body of knowledge on the application of bioinspired optimization in control engineering.

Universidad de Deusto (ES), Universidad San Francisco de Quito (EC)
Affordable and clean energy
Openalex Percentile: Top 40%
Advanced Control Systems Design
0.33
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