@inproceedings{ba9262245a98426c9b478fb173dd6eb8,
title = "Attitude control for ducted fan UAV based on sliding mode adaptive algorithm",
abstract = "According to the complicated condition and special dynamic performance of the Ducted Fan UAV, a nonlinear multiple input and multiple output control method is designed. This method is based on the sliding mode adaptive theory. Introducing the integral term, this method can work without the derivative value of the tracked signal; even the derivative doesn't exist or cannot be got. The adaptive control can identify the uncertain parameters and external disturbance, and adjust the controller's parameters real-time. Using a low-pass filter can effectively inhibit the chattering phenomenon in sliding mode control system. The Ducted Fan UAV attitude is controlled by this method. The simulation results show that this method has strong robustness and good tracking performance.",
keywords = "Attitude control, Nonlinear, Sliding mode adaptive, Unmanned aerial vehicle (UAV)",
author = "Ren, \{Xiao Lu\} and Wang, \{Chang Hong\} and Yi, \{Guo Xing\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.513-517.3915",
language = "英语",
isbn = "9783038350125",
series = "Applied Mechanics and Materials",
pages = "3915--3918",
booktitle = "Applied Science, Materials Science and Information Technologies in Industry",
note = "2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014 ; Conference date: 11-01-2014 Through 12-01-2014",
}