A SMALL UNMANNED AERIAL VEHICLE FOR OIL-GAS FIELD SURVEILLANCE

摘要：

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.

关键词： Oil-gas filed Adaptive kalman filter Path-following control

作者: TIAN-MIAO WANG XU-SHENG LEI JIAN-HONG LINAG BAO-QING PEI

作者单位: Robot Center, Beijing University of Aeronautics and Astronautics, Beijing 100083, China Robot Center, Beijing University of Aeronautics and stronautics, Beijing 100083, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1840-1846

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）