@inproceedings{847ffb03e9bd4ee8a16d0f30b5aee339,
title = "Adaptive lateral control of Reconnaissance and Strike integrated UAV",
abstract = "This paper presents a lateral Integrated Fire/Flight Control (IFFC) for a Reconnaissance and Strike integrated Unmanned Aerial Vehicle (R/S UAV). The system consists of a fire/flight coupler and an adaptive rolling angle controller. In order to improve the changeful dynamic in the rolling loop of the R/S UAV, a Neural Network (NN) is used to obtains approximate inverse dynamics of the response. Numerical simulation is performed using this method, and the results show that the proposed system improves the IFFC performance including the time delay and overshoot.",
keywords = "Adaptive control, Flight Control, IFFC, Neural Network, R/S UAV",
author = "Wei Xiao and Zhu, {Xiao Ping} and Zhou Zhou",
year = "2011",
doi = "10.4028/www.scientific.net/AMM.66-68.1461",
language = "英语",
isbn = "9783037851852",
series = "Applied Mechanics and Materials",
pages = "1461--1466",
booktitle = "Mechanical, Materials and Manufacturing Engineering",
note = "2011 International Conference on Mechanical Materials and Manufacturing Engineering, ICMMME 2011 ; Conference date: 20-06-2011 Through 22-06-2011",
}