@inproceedings{5662ca7820064152b42d2cd39e4748ec,
title = "A small unmanned aerial vehicle for oil-gas field surveillance",
abstract = "In the last years, there is an increasing demand for cheap and easy to operate platforms for surveillance and reconnaissance purposes in oil-gas filed where are often located in multi-glossary region. This paper describes the flight control and navigation system of a fixed-wing unmanned aerial vehicle. Furthermore, an adaptive kalman filter algorithm with radial basic function neural network is proposed to improve attitude information performance. Moreover, a vector field path following control algorithm is used to realize precise path control. Based on sensor information, system adjusts parameters in real time to provide detail oil-gas field information for control center to make the corresponding decisions efficiency.",
keywords = "Adaptive kalman filter, Oil-gas filed, Path-following control",
author = "Wang, \{Tian Miao\} and Lei, \{Xu Sheng\} and Linag, \{Jian Hong\} and Pei, \{Bao Qing\}",
year = "2008",
doi = "10.1109/ICMLC.2008.4620705",
language = "英语",
isbn = "9781424420964",
series = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",
pages = "1840--1846",
booktitle = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",
note = "7th International Conference on Machine Learning and Cybernetics, ICMLC ; Conference date: 12-07-2008 Through 15-07-2008",
}