CIOMP OpenIR  > 中科院长春光机所知识产出
Altitude information fusion method and experiment for UAV
Xu, D.; X. Pei; Y. Bai; C. Peng; Z. Wu and Z. Xu
2017
发表期刊High Technology Letters
卷号23期号:2
摘要Altitude regulation is a fundamental problem in UAV (unmanned aerial vehicles) control to ensure hovering and autonomous navigation performance. However, data from altitude sensors may be unstable by interference. A digital-filter-based improved adaptive Kalman method is proposed to improve accuracy and reliability of the altitude measurement information.A unique sensor data fusion structure is designed to make different sensors switch automatically in different environment. Simulation and experimental results show that an improved Sage-Husa adaptive extended Kalman filter (SHAEKF) is adopted in altitude data fusion which means that altitude error is limited to 1.5m in high altitude and 1.2m near the ground. This method is proved feasible and effective through hovering flight test and three-dimensional track flight experiment. Copyright by HIGH TECHNOLOGY LETTERS PRESS.
收录类别sci ; ei
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59344
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Xu, D.,X. Pei,Y. Bai,et al. Altitude information fusion method and experiment for UAV[J]. High Technology Letters,2017,23(2).
APA Xu, D.,X. Pei,Y. Bai,C. Peng,&Z. Wu and Z. Xu.(2017).Altitude information fusion method and experiment for UAV.High Technology Letters,23(2).
MLA Xu, D.,et al."Altitude information fusion method and experiment for UAV".High Technology Letters 23.2(2017).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Altitude information(2924KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, D.]的文章
[X. Pei]的文章
[Y. Bai]的文章
百度学术
百度学术中相似的文章
[Xu, D.]的文章
[X. Pei]的文章
[Y. Bai]的文章
必应学术
必应学术中相似的文章
[Xu, D.]的文章
[X. Pei]的文章
[Y. Bai]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Altitude information fusion method and experiment for UAV.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。