Journals / Turkish Journal of Electrical Engineering and Computer Science / 2016 / Cilt: 24 - Sayı: 4

Gravitational search algorithm for determining controller parameters in an automatic voltage regulator system

Pages
2387–2400
Publication Date
2016-08-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

From the numerical simulation results it is clear that the GSA approach is successfully applied to reveal the performance and the feasibility of the proposed controller in the AVR system.

📌 3 Key Takeaways

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Objective & Hypothesis:proportional-integral-derivate (PID) controller for an automatic voltage regulator (AVR) system using a heuristic gravitational search algorithm (GSA) based on mass interactions and Newton's law of gravity.
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Key Findings & Data:The determination of optimal controller parameters is considered an optimization problem in which different performance indexes and a performance criterion in the time domain have been used as objective functions to test the performance and effectiveness of the GSA.
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Conclusion & Impact:From the numerical simulation results it is clear that the GSA approach is successfully applied to reveal the performance and the feasibility of the proposed controller in the AVR system.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Gravitational search algorithm · optimization · automatic voltage regulator

Abstract

proportional-integral-derivate (PID) controller for an automatic voltage regulator (AVR) system using a heuristic gravitational search algorithm (GSA) based on mass interactions and Newton's law of gravity. The determination of optimal controller parameters is considered an optimization problem in which different performance indexes and a performance criterion in the time domain have been used as objective functions to test the performance and effectiveness of the GSA. In the determining process of the parameters, the designed PID controller with the proposed approach is simulated under different conditions and the performance of the controller is compared with those reported in the literature. From the numerical simulation results it is clear that the GSA approach is successfully applied to reveal the performance and the feasibility of the proposed controller in the AVR system.

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Cite This Article

DUMAN, S., YÖRÜKEREN, N., ALTAŞ, İ. H. (2016). Gravitational search algorithm for determining controller parameters in an automatic voltage regulator system. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 24 - Sayı: 4, 2387–2400. https://ajindex.com/articles/187909

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