Optimization of Multiple Laser Range Finder Distribution Based on Genetic Algorithm

被引：0
|
作者：
Zhang, Zihao [1 ]
Wang, Xinhua [1 ]
Sun, Peng [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC) | 2017年
关键词：
UAV; automatic landing; optimization; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper deals with the optimization of multiple laser ranger finder distribution used for Shipborne Unmanned Aerial Vehicles (UAVs) automatic landing. The aim of this study is to improve the measurement accuracy of shipborne multiple laser ranger finder intersection location method. Firstly, the exact mathematical relationship between the distribution and measurement accuracy of multiple laser ranger finder is discussed, and the objective function of optimization is constructed. Then the geometry of the ship deck which will constrain the distribution is considered. Genetic algorithm is used to solve the optimization problem. At last, the simulation experiments based on MATLAB are presented and the experiment results indicate that optimal distribution is effective in reducing measurement error of shipborne multiple laser ranger finder intersection location method.
引用
收藏
页码：1481 / 1485
页数：5
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