|本期目录/Table of Contents|

[1]陈登峰a,王彦柱b,姜 翔b,等.基于差分GPS的无人机群小范围定位方法研究[J].工业仪表与自动化装置,2019,(05 总269):118-121.[doi:1000-0682(2019)05-0000-00]
 CHEN Dengfenga,WANG Yanzhub,JIANG Xiangb,et al.Research on positioning method of small range of UAV based on differential GPS[J].Industrial Instrumentation & Automation,2019,(05 总269):118-121.[doi:1000-0682(2019)05-0000-00]
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基于差分GPS的无人机群小范围定位方法研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2019年05期 总第269期
页码:
118-121
栏目:
出版日期:
2019-10-15

文章信息/Info

Title:
Research on positioning method of small range of UAV based on differential GPS
作者:
陈登峰a王彦柱b姜 翔b段 优b
西安建筑科技大学 a.建筑设备科学与工程学院;b.信息与控制工程学院,西安 710055
Author(s):
CHEN Dengfenga WANG Yanzhub JIANG Xiangb DUAN Youb
a.School of Building Services Science and Engineering; b.School of Information and Control Engineering,Xi’an University of Architecture & Technology, Xi’an 710055, China
关键词:
无人机差分GPS绝对定位无线通信相对定位
Keywords:
Keywords:UAVdifferential GPSabsolute positioningwireless communicationrelative positioning
分类号:
P228.4
DOI:
1000-0682(2019)05-0000-00
文献标志码:
A
摘要:
为提高无人机群定位精度,减小飞行误差,增强避障能力,针对无人机飞行过程中精确定位受大气、卫星轨道、电磁等因素影响,引入差分GPS定位方法。利用差分GPS对无人机实现空间绝对定位,后用短距无线通信实现多个无人机间的相互通信,达到相对定位的目的,最终将接收机站信号上传上位机实现仿真验证。根据实验验证结果得出差分GPS定位在无人机群方面可提高定位精度。
Abstract:
For accurate positioning in the process of unmanned aerial vehicle(UAV) flight is affected by many factors, in order to improve the formation flight accurate positioning, enhance the capacity of obstacle avoidance, reduce error will introduce a differential GPS positioning method UAV group control positioning,using differential GPS realization of UAV space absolute positioning, short distance wireless communication is used after implement multiple UAV to communicate with each other, achieve the goal of relative positioning,will eventually receiver station signal upload PC to realize simulation. Improve GPS positioning accuracy in UAV control.

参考文献/References:

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[4] 王艳东,杨红雨,付海峰,等.基于机群编队的无基准站伪距差分GPS相对导航[J].中国惯性技术学报,2013, 21(6): 764-766.
[5] Azali S, Sheikhan M. Intelligent control of photovoltaic system using BPSO-GSA-optimized neural network and fuzzy-based PID for maximum power point tracking[J]. Applied Intelligence, 2016,44(1):88-110.
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备注/Memo

备注/Memo:
收稿日期:2018-12-17
基金项目:国家自然科学基金项目(51705393);陕西省教育厅专项科研项目(14JK1408);西安市工业应用技术研发项目(JZKD0011);西安建筑科技大学基础研究基金项目(JC1318)
作者简介:陈登峰(1976),男,陕西西安人,副教授,主要研究领域控制理论算法。
更新日期/Last Update: 1900-01-01