Adaptive attitude controller for a satellite based on neural network in the presence of unknown external disturbances and actuator faults

被引：34
|
作者：
Fazlyab, Ali Reza [1 ]
Saberi, Farhad Fani [2 ]
Kabganian, Mansour [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Mech Engn, Tehran 158754413, Iran
[2] Amirkabir Univ Technol, Space Sci & Technol Inst, Tehran 158754413, Iran
来源：
ADVANCES IN SPACE RESEARCH | 2016年 / 57卷 / 01期
关键词：
Actuator faults; Adaptive control; Attitude; External disturbances; Neural network; Satellite; OUTPUT-FEEDBACK CONTROL; FLIGHT CONTROL; FLEXIBLE SPACECRAFT; SYSTEMS; STABILIZATION; PARAMETERS;
D O I：
10.1016/j.asr.2015.10.026
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite. The proposed attitude control is based on nonlinear modified Rodrigues parameters feedback control in the presence of unknown terms like external disturbances and actuator faults. In order to eliminate the effect of the uncertainties, a multilayer neural network with a new learning rule will be designed appropriately. In this method, asymptotic stability of the proposed algorithm has been proven in the presence of unknown terms based on Lyapunov stability theorem. Finally, the performance of the designed attitude controller is investigated by simulations. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：367 / 377
页数：11
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