Altitude information fusion method and experiment for UAV

	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