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Title
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Chaotic Based Particle Swarm Optimization Algorithm for Optimal PID tuning in AVR system
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Sub-Title |
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Subject |
Proportional integral derivative (PID) tuning, chaotic particle swarm optimization (CPSO), robustness analysis, automatic voltage regulator (AVR), transient response
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Sub-Subject |
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Author |
Naveed Anwar and Aamir Hanif, Umair Ali and Amad
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Publish Year |
2021 |
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Diss#. |
https://doi.org/10.20998/2074-272X.2021.1.08 |
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Chapters |
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Pages |
50-59 |
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Text Language |
English |
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Accession |
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Library Section |
Research Article |
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Abstract |
Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to maintain its terminal voltage at rated voltage. Several control techniques utilized to improve the response of the automatic voltage regulator system, however, proportional integral derivative (PID) controller is the most frequently used controller but its parameters require optimization. Novelty. In this paper, the chaotic sequence based on the logistic map is hybridized with particle swarm optimization to find the optimal parameters of the PID for the automatic voltage regulator system. The logistic map chaotic sequence-based initialization and global best selection enable the algorithm to escape from local minima stagnation and improve its convergence rate resulting in best optimal paramet
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