Reliable Controller Design Based on Self-organization Fuzzy Neural Network for Satellite Attitude Control System

被引：0
|
作者：
Yang Mingkai [1 ]
Cheng Yuehua [1 ,2 ]
Jiang Bin [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Acad Frontier Sci, Nanjing 210016, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年
基金：
中国国家自然科学基金;
关键词：
Neural Network; Fault Detection and Diagnosis; Fault Accommodation; Satellite Attitude Control; FAULT-DETECTION; DIAGNOSIS; ACCOMMODATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fault detection and diagnosis (FDD) technique of the satellite attitude control systems (ACS) with actuators faults is investigated. A robust controller based on neural network (NNC) is presented which is insensitive to the disturbances. The system faults can be identified by the self-organizing fuzzy neural network (SFNN), and then the obtained estimation is used to reconfigure the control law. The neural network estimation system (NNES) begins to work after the fault is detected, which can reduce the computational complexity. Simulation results demonstrate the efficiency of the proposed FDD for satellite ACS.
引用
收藏
页码：3925 / 3930
页数：6
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