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/).
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 -