Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

Research and Validation of Lightning Location Based on Particle Swarm Optimization Algorithm

Authors
Xiaohong Guo, Yongli Zhu, Hua Chen, Lei Zhao, Xu Chen, Yanfeng Gao
Corresponding Author
Xiaohong Guo
Available Online April 2015.
DOI
10.2991/isrme-15.2015.166How to use a DOI?
Keywords
LLS, particle swarm optimization, PSO.
Abstract

In the lightning monitoring systems, positioning calculation is directly related to the results of the detection accuracy. In this paper, the concept of the particle swarm optimization (PSO) algorithm for lightning location estimation was brought in. The PSO overcome the disadvantages of iterative method, such as the difficulty in finding initial and going to diverge. The numerical simulation results show that: the algorithm can obtained lightning point steadily and accurately, and converge quickly. Therefore, the PSO algorithm on lightning location is feasible.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-59-2
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.166How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohong Guo
AU  - Yongli Zhu
AU  - Hua Chen
AU  - Lei Zhao
AU  - Xu Chen
AU  - Yanfeng Gao
PY  - 2015/04
DA  - 2015/04
TI  - Research and Validation of Lightning Location Based on Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 815
EP  - 818
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.166
DO  - 10.2991/isrme-15.2015.166
ID  - Guo2015/04
ER  -