2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 2015
DOI: 10.1109/iceee.2015.7357983
|View full text |Cite
|
Sign up to set email alerts
|

Linear observer for estimating wind gust in UAV's

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 1 publication
0
3
0
1
Order By: Relevance
“…Recently, unmanned aerial vehicles (UAVs) have witnessed rapid advancements in technology. UAVs have numerous applications in different fields, ranging from aerial photography to public health care, disaster management, inspection of industrial facilities, vegetation mapping, wetland ecosystem monitoring, traffic monitoring, and delivery of automated external defibrillators (AEDs) and other items [1][2][3][4][5][6][7][8][9][10][11][12] based on the ability to efficiently carry out diverse tasks, including those with reduced operational cost compared to satellites and conventional aircraft, those in areas preventing ready access by human resources, and those requiring high mobility unaltered by traffic congestion or topography [13].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, unmanned aerial vehicles (UAVs) have witnessed rapid advancements in technology. UAVs have numerous applications in different fields, ranging from aerial photography to public health care, disaster management, inspection of industrial facilities, vegetation mapping, wetland ecosystem monitoring, traffic monitoring, and delivery of automated external defibrillators (AEDs) and other items [1][2][3][4][5][6][7][8][9][10][11][12] based on the ability to efficiently carry out diverse tasks, including those with reduced operational cost compared to satellites and conventional aircraft, those in areas preventing ready access by human resources, and those requiring high mobility unaltered by traffic congestion or topography [13].…”
Section: Introductionmentioning
confidence: 99%
“…Yüksel, Secchi, Bülthoff, & Franchi (2014) presented Lyapunov method for external forces and moments in flying robots. Martínez-Vásquez et al (2015) implemented a linear observer with integral action for estimating the disturbances due to a wind in hover flight mode. Qu, Xing, & Zhang (2016) used a decomposition of the hovering state equations to estimate the wind, and Qu, Xing, Zhang, & Yu (2017) extended the work using both IMU and a smoothing filter to reduce the effect of sensor noise.…”
Section: Introductionmentioning
confidence: 99%
“…The problem of wind estimation was also addressed in [9], where an extended state observer is developed to identify wind disturbances, but only indoor experiments where conducted to validate this method. A linear observer for the estimation of wind disturbances is presented in [10]. Real-time outdoor experiments where conducted using a GPS receiver to test the proposed method in real flight conditions.…”
Section: Introductionmentioning
confidence: 99%