An integrated navigation system for A small UAV using low-cost sensors

Xusheng Lei; Jianhong Liang; Song Wang; Tianmiao Wang

doi:10.1109/ICINFA.2008.4608101

An integrated navigation system for A small UAV using low-cost sensors

Xusheng Lei^*
, Jianhong Liang
, Song Wang
, Tianmiao Wang

^*Corresponding author for this work

Beihang University

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

4 Scopus citations

Abstract

This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle with low cost sensors. Furthermore, an adaptive kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Based on the unmanned aerial vehicle situation information and error information, system adjusts the weights of the sensor information to get precise information. Moreover, a simple heading control algorithm is used to realize position control. The effectiveness of the proposed methods is shown by a series of simulations and experiments. The small unmanned aerial vehicle can operate in the field and send back the environment information for the control center to improve emergency management efficiency.

Original language	English
Title of host publication	Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008
Pages	765-769
Number of pages	5
DOIs	https://doi.org/10.1109/ICINFA.2008.4608101
State	Published - 2008
Event	2008 IEEE International Conference on Information and Automation, ICIA 2008 - Zhangjiajie, Hunan, China Duration: 20 Jun 2008 → 23 Jun 2008

Publication series

Name	Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

Conference

Conference	2008 IEEE International Conference on Information and Automation, ICIA 2008
Country/Territory	China
City	Zhangjiajie, Hunan
Period	20/06/08 → 23/06/08

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10.1109/ICINFA.2008.4608101

Cite this

Lei, X., Liang, J., Wang, S., & Wang, T. (2008). An integrated navigation system for A small UAV using low-cost sensors. In Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008 (pp. 765-769). Article 4608101 (Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008). https://doi.org/10.1109/ICINFA.2008.4608101

@inproceedings{3160f968d40442a380dac460e49ebc0f,

title = "An integrated navigation system for A small UAV using low-cost sensors",

abstract = "This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle with low cost sensors. Furthermore, an adaptive kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Based on the unmanned aerial vehicle situation information and error information, system adjusts the weights of the sensor information to get precise information. Moreover, a simple heading control algorithm is used to realize position control. The effectiveness of the proposed methods is shown by a series of simulations and experiments. The small unmanned aerial vehicle can operate in the field and send back the environment information for the control center to improve emergency management efficiency.",

author = "Xusheng Lei and Jianhong Liang and Song Wang and Tianmiao Wang",

year = "2008",

doi = "10.1109/ICINFA.2008.4608101",

language = "英语",

isbn = "9781424421848",

series = "Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008",

pages = "765--769",

booktitle = "Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008",

note = "2008 IEEE International Conference on Information and Automation, ICIA 2008 ; Conference date: 20-06-2008 Through 23-06-2008",

}

Lei, X , Liang, J, Wang, S & Wang, T 2008, An integrated navigation system for A small UAV using low-cost sensors. in Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008., 4608101, Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008, pp. 765-769, 2008 IEEE International Conference on Information and Automation, ICIA 2008, Zhangjiajie, Hunan, China, 20/06/08. https://doi.org/10.1109/ICINFA.2008.4608101

An integrated navigation system for A small UAV using low-cost sensors. / Lei, Xusheng ; Liang, Jianhong; Wang, Song et al.
Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008. 2008. p. 765-769 4608101 (Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008).

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

TY - GEN

T1 - An integrated navigation system for A small UAV using low-cost sensors

AU - Lei, Xusheng

AU - Liang, Jianhong

AU - Wang, Song

AU - Wang, Tianmiao

PY - 2008

Y1 - 2008

N2 - This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle with low cost sensors. Furthermore, an adaptive kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Based on the unmanned aerial vehicle situation information and error information, system adjusts the weights of the sensor information to get precise information. Moreover, a simple heading control algorithm is used to realize position control. The effectiveness of the proposed methods is shown by a series of simulations and experiments. The small unmanned aerial vehicle can operate in the field and send back the environment information for the control center to improve emergency management efficiency.

AB - This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle with low cost sensors. Furthermore, an adaptive kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Based on the unmanned aerial vehicle situation information and error information, system adjusts the weights of the sensor information to get precise information. Moreover, a simple heading control algorithm is used to realize position control. The effectiveness of the proposed methods is shown by a series of simulations and experiments. The small unmanned aerial vehicle can operate in the field and send back the environment information for the control center to improve emergency management efficiency.

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DO - 10.1109/ICINFA.2008.4608101

M3 - 会议稿件

AN - SCOPUS:54249130671

SN - 9781424421848

T3 - Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

SP - 765

EP - 769

BT - Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008

T2 - 2008 IEEE International Conference on Information and Automation, ICIA 2008

Y2 - 20 June 2008 through 23 June 2008

ER -

An integrated navigation system for A small UAV using low-cost sensors

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