PID Coefficient Design for the Automatic Voltage Regulator Using an Adaptive Inertia Particle Swarm Optimization

In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or dec...

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Bibliographic Details
Published in2011 International Conference on Information Science and Applications pp. 1 - 6
Main Authors Kang, Hwan Il, Kwon, Min Woo, Bae, Hwan Gil
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2011
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ISBN9781424492220
142449222X
ISSN2162-9048
DOI10.1109/ICISA.2011.5772346

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Summary:In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or decreased. That is, if the absolute value of velocity is larger or lesss than that of the update term, then the weight is increased or decreased, respectively. With the so-called adaptive inertia PSO algorithm we design PID coefficients for the automatic voltage regulators. We show that the proposed algorithm has a better performance than the original PSO under some conditions for the PID design of automatic voltage regulators.
ISBN:9781424492220
142449222X
ISSN:2162-9048
DOI:10.1109/ICISA.2011.5772346