首页 | 本学科首页   官方微博 | 高级检索  
     检索      

无人水下航行器势场航路规划方法研究
引用本文:贾下跖,刘可述,张孟,邓超.无人水下航行器势场航路规划方法研究[J].应用声学,2017,25(1):144-148.
作者姓名:贾下跖  刘可述  张孟  邓超
作者单位:山东核电有限公司,东方电子股份有限公司,山东核电有限公司,北京航天控制仪器研究所
摘    要:对运动障碍威胁环境下UUV航路规划问题进行了研究。首先分别对规划过程中固定障碍、运动障碍建立了排斥势场,对目标点建立了吸引势场,将航路规划问题转变为寻找最优势场点问题;然后提出一种改进的粒子群算法(NPSO),在UUV航路规划过程中,寻找距离当前路径点固定步长范围内的最优势场点,将其作为下一路径点,最终实现UUV在运动障碍威胁环境中的航路规划;最后对所提方法进行了仿真验证,UUV可以有效躲避固定障碍与运动障碍威胁,寻找到较优航路,取得了较好的仿真效果。

关 键 词:UUV  航路规划  势场  粒子群
收稿时间:2016/7/15 0:00:00
修稿时间:2016/9/2 0:00:00

Potential Field Method for Unmanned Underwater Vehicle Path-planning
Jia Xiazhi,Liu Keshu,Zhang Meng and Deng Chao.Potential Field Method for Unmanned Underwater Vehicle Path-planning[J].Applied Acoustics,2017,25(1):144-148.
Authors:Jia Xiazhi  Liu Keshu  Zhang Meng and Deng Chao
Institution:ShanDong Nuclear Power Company LTD, Yantai 264000, China,Beijing Aerospace Control Instrument Research Institute, Beijing 100854, China,ShanDong Nuclear Power Company LTD, Yantai 264000, China and Dong Fang Electronics Co.,Ltd., Yantai 264000, China[JZ]
Abstract:The problem of UUV path-planning under the environment of movement disorders has been addressed. Firstly, potential field method is proposed to build rejection potential field for fixed obstacles and movement disorders, and attractive potential for objective point. Then, a novel particle swarm optimization (NPSO) is proposed and applied to find the optimal potential field point as the next path point, which point of fixed step length distance from the current point, so as to realize UUV path-planning under movement disorders threat. Finally, simulation is presented, demonstrating that UUV can dodge obstacles and threat, and search for the better sea-lane.
Keywords:UUV  Path-Planning  Field  PSO
点击此处可从《应用声学》浏览原始摘要信息
点击此处可从《应用声学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号