Design of wind speed measurement system based on integrated navigation and atmospheric data fusion

Jing Juan Zhang; Wei Liu; Ming Yi Liu

doi:10.4028/www.scientific.net/AMM.511-512.105

Design of wind speed measurement system based on integrated navigation and atmospheric data fusion

Jing Juan Zhang, Wei Liu, Ming Yi Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The characteristics wind field impact flight safety, trajectory keeping, and navigation performance of Micro Unmanned Aerial Vehicles (MUAV) directly. Accurate wind field measurement is a premise for MUAVs to take various pre-reactions to gust disturbance. Due to its small size, light weight, and low speed, MUAV is easily affected by gust disturbance during its flight at low altitude. Real time wind speed estimation and flight control strategy adjusting can reduce the impact of gust and enhance flight safety. This paper proposes a method of using airborne IMU, GPS, and pressure sensors to estimate wind speed. Experimental results show that this method can effectively estimate wind speed accurately, and has important application value.

Original language	English
Title of host publication	Sensors, Mechatronics and Automation
Pages	105-110
Number of pages	6
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.511-512.105
State	Published - 2014
Externally published	Yes
Event	2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013 - Shenzhen, China Duration: 24 Dec 2013 → 25 Dec 2013

Publication series

Name	Applied Mechanics and Materials
Volume	511-512
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013
Country/Territory	China
City	Shenzhen
Period	24/12/13 → 25/12/13

Keywords

Air pressure
Airspeed
Integrated navigation
Wind speed estimation

Access to Document

10.4028/www.scientific.net/AMM.511-512.105

Cite this

@inproceedings{ab809cf706d14d39972a57cf15736463,

title = "Design of wind speed measurement system based on integrated navigation and atmospheric data fusion",

abstract = "The characteristics wind field impact flight safety, trajectory keeping, and navigation performance of Micro Unmanned Aerial Vehicles (MUAV) directly. Accurate wind field measurement is a premise for MUAVs to take various pre-reactions to gust disturbance. Due to its small size, light weight, and low speed, MUAV is easily affected by gust disturbance during its flight at low altitude. Real time wind speed estimation and flight control strategy adjusting can reduce the impact of gust and enhance flight safety. This paper proposes a method of using airborne IMU, GPS, and pressure sensors to estimate wind speed. Experimental results show that this method can effectively estimate wind speed accurately, and has important application value.",

keywords = "Air pressure, Airspeed, Integrated navigation, Wind speed estimation",

author = "Zhang, {Jing Juan} and Wei Liu and Liu, {Ming Yi}",

year = "2014",

doi = "10.4028/www.scientific.net/AMM.511-512.105",

language = "英语",

isbn = "9783038350170",

series = "Applied Mechanics and Materials",

pages = "105--110",

booktitle = "Sensors, Mechatronics and Automation",

note = "2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013 ; Conference date: 24-12-2013 Through 25-12-2013",

}

Zhang, JJ, Liu, W & Liu, MY 2014, Design of wind speed measurement system based on integrated navigation and atmospheric data fusion. in Sensors, Mechatronics and Automation. Applied Mechanics and Materials, vol. 511-512, pp. 105-110, 2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013, Shenzhen, China, 24/12/13. https://doi.org/10.4028/www.scientific.net/AMM.511-512.105

TY - GEN

T1 - Design of wind speed measurement system based on integrated navigation and atmospheric data fusion

AU - Zhang, Jing Juan

AU - Liu, Wei

AU - Liu, Ming Yi

PY - 2014

Y1 - 2014

N2 - The characteristics wind field impact flight safety, trajectory keeping, and navigation performance of Micro Unmanned Aerial Vehicles (MUAV) directly. Accurate wind field measurement is a premise for MUAVs to take various pre-reactions to gust disturbance. Due to its small size, light weight, and low speed, MUAV is easily affected by gust disturbance during its flight at low altitude. Real time wind speed estimation and flight control strategy adjusting can reduce the impact of gust and enhance flight safety. This paper proposes a method of using airborne IMU, GPS, and pressure sensors to estimate wind speed. Experimental results show that this method can effectively estimate wind speed accurately, and has important application value.

AB - The characteristics wind field impact flight safety, trajectory keeping, and navigation performance of Micro Unmanned Aerial Vehicles (MUAV) directly. Accurate wind field measurement is a premise for MUAVs to take various pre-reactions to gust disturbance. Due to its small size, light weight, and low speed, MUAV is easily affected by gust disturbance during its flight at low altitude. Real time wind speed estimation and flight control strategy adjusting can reduce the impact of gust and enhance flight safety. This paper proposes a method of using airborne IMU, GPS, and pressure sensors to estimate wind speed. Experimental results show that this method can effectively estimate wind speed accurately, and has important application value.

KW - Air pressure

KW - Airspeed

KW - Integrated navigation

KW - Wind speed estimation

UR - http://www.scopus.com/inward/record.url?scp=84896894671&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/AMM.511-512.105

DO - 10.4028/www.scientific.net/AMM.511-512.105

M3 - 会议稿件

AN - SCOPUS:84896894671

SN - 9783038350170

T3 - Applied Mechanics and Materials

SP - 105

EP - 110

BT - Sensors, Mechatronics and Automation

T2 - 2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013

Y2 - 24 December 2013 through 25 December 2013

ER -

Design of wind speed measurement system based on integrated navigation and atmospheric data fusion

Abstract

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Conference

Keywords

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