Ant Lion Optimization Based PID Controller in DC Motor Speed Control

This paper presents the application of Antlion optimization (ALO) tuning approach to obtain the optimal parameters of PID controller to regulate the speed of DC motor. The ALO method was applied to minimize the ITAE objective function to determine the optimal gains of the PID controller, that will drive the system with minimal rising and settling times. The transient and robustness analysis were carried out to determine the effectiveness of the technique. Comparison with various approaches was conducted, effectively resulting in the proposed approach to demonstrate an improved performance. These approaches comprising of ASO-PID, GWO-PID, HHO-PID and SCA-PID are some of the best algorithms used in literature having the best results.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10738943
Citations
2
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.66
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article

Ant Lion Optimization Based PID Controller in DC Motor Speed Control

T. Jayachitra, Muhammad Abdullahi Musa
2 citations
Advanced Algorithms and Applications
0.66
article

Ant Lion Optimization Based PID Controller in DC Motor Speed Control

T. Jayachitra, Muhammad Abdullahi Musa
article en
2 citations

Abstract

This paper presents the application of Antlion optimization (ALO) tuning approach to obtain the optimal parameters of PID controller to regulate the speed of DC motor. The ALO method was applied to minimize the ITAE objective function to determine the optimal gains of the PID controller, that will drive the system with minimal rising and settling times. The transient and robustness analysis were carried out to determine the effectiveness of the technique. Comparison with various approaches was conducted, effectively resulting in the proposed approach to demonstrate an improved performance. These approaches comprising of ASO-PID, GWO-PID, HHO-PID and SCA-PID are some of the best algorithms used in literature having the best results.

Sharda University (IN)
Affordable and clean energy
Openalex Percentile: Top 29%
Advanced Algorithms and Applications
0.66
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