@inproceedings{ac15927c409f4028ac666799fe7a6a3a,
title = "Disturbance rejection attitude controller design for launch vehicle",
abstract = "A disturbance rejection attitude controller of launch vehicle based on radial basis function (RBF) neural network and proportional-differential (PD) control is proposed to attenuate effect of parameter variation and disturbances of launch vehicle on attitude control accuracy and stability. The radial basis function (RBF) neural network is used to estimate and compensate impact of parametric uncertainties and disturbances by taking full advantage of information of gyros and attitude sensors. The designed controller applies proportional-differential control to realize attitude control. Simulation results show that the controller exhibits good dynamic performance, high ability and strong robustness against external disturbance and parameter uncertainty.",
keywords = "Attitude control, Launch vehicle, Proportional-differential control, Radial basis function neural network",
author = "Wang Pei and Bo, {Lv Mei} and Lei, {Ge Zhi} and Zhang Ke",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd International Conference on Control, Automation and Robotics, ICCAR 2017 ; Conference date: 22-04-2017 Through 24-04-2017",
year = "2017",
month = jun,
day = "7",
doi = "10.1109/ICCAR.2017.7942781",
language = "英语",
series = "2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "668--672",
booktitle = "2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017",
}