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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| Published in | 2011 International Conference on Information Science and Applications pp. 1 - 6 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.04.2011
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781424492220 142449222X |
| ISSN | 2162-9048 |
| DOI | 10.1109/ICISA.2011.5772346 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Kwon, Min Woo Bae, Hwan Gil Kang, Hwan Il |
| Author_xml | – sequence: 1 givenname: Hwan Il surname: Kang fullname: Kang, Hwan Il email: hwan@mju.ac.kr organization: Dept. of Inf. & Commun. Eng., Myongji Univ., Yongin, South Korea – sequence: 2 givenname: Min Woo surname: Kwon fullname: Kwon, Min Woo email: kasanokk@hotmail.com organization: Dept. of Inf. & Commun. Eng., Myongji Univ., Yongin, South Korea – sequence: 3 givenname: Hwan Gil surname: Bae fullname: Bae, Hwan Gil email: bae5328@naver.com organization: Dept. of Inf. & Commun. Eng., Myongji Univ., Yongin, South Korea |
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| Snippet | 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.... |
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| SubjectTerms | a new particle swarm optimization adaptive inertia adaptive inertia PSO Adaptive systems automatic voltage regulators Convergence Equations Particle swarm optimization Regulators Voltage control |
| Title | PID Coefficient Design for the Automatic Voltage Regulator Using an Adaptive Inertia Particle Swarm Optimization |
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