Genetic Algorithm Based LQR for Attitude Control of a Magnetically Actuated CubeSat

2015 ◽  
Author(s):  
Sarthak Kukreti ◽  
Alex Walker ◽  
Phil Putman ◽  
Kelly Cohen
Keyword(s):  
Genetic Algorithm ◽  
Attitude Control ◽  
Magnetically Actuated

scholarly journals Genetic algorithms for GNC settings and DACS design application to an asteroid Kinetic Impactor

2018 ◽  
Author(s):  
P. Vernis ◽  
V. Oliviero
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Control System ◽  
Attitude Control ◽  
Medium Size ◽  
Attitude Control System ◽  
Data Set ◽  
Earth Object ◽  
Navigation And Control ◽  
And Control

This paper deals with an application of Genetic Algorithm (GA) tools in order to perform and optimize the settings phase of the Guidance, Navigation, and Control (GNC) data set for the endgame phase of a Kinetic Impactor (KI) targeting a medium-size Near Earth Object (NEO). A coupled optimization of the GNC settings and of the GC-oriented design of the Divert and Attitude Control System (DACS) is also proposed. The illustration of the developed principles is made considering the NEOShield study frame.

H∞ attitude control of magnetically actuated satellites*

2011 ◽  
Vol 44 (1) ◽  
pp. 8479-8484 ◽  
Author(s):  
Andrea Maria Zanchettin ◽  
Marco Lovera
Keyword(s):  
Attitude Control ◽  
Magnetically Actuated
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