Paper Info
Title
A control system for a single-spin LEO satellite employing supervisory control with fuzzy logic and adaptive control under uncertainty
Abstract
We present an algorithm of supervisory control with fuzzy logic and adaptive control of a low earth orbit LEO satellite with single-spin stabilization. The error generated by an adaptive control signal can be computed with only the reference dynamics of the model and the damping. A fuzzy logic algorithm is presented that acts as a supervisory control and estimates the changes of the parameters and applies the necessary signals to avoid any unsuitability in the system. The results of simulation have shown that position control is performed within an acceptable tolerance by using the suggested algorithm, which includes three closed-loop systems and unknown parameters of the system [1,2,3].
Year
DOI
Venue
2005
10.1109/IRI-05.2005.1506498
Journal of Intelligent and Fuzzy Systems
Keywords
Field
DocType
low earth orbit leo,reference model,parameter estimation,supervisory control,adaptive control,fuzzy control,covariance matrix,fuzzy logic,control system,earth orbit
Data mining,Spin-½,Satellite,Computer science,Supervisory control,Control theory,Fuzzy logic,Fuzzy control system,Control system,Earth's orbit,Adaptive control
Conference
Volume
Issue
ISSN
17
5
1064-1246
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Faridoon Shabaninia1216.74
Reza Khorshidi201.35