Control Algorithm Parameters Selection for a Three-Axis Magnetic Attitude Control System in the Presence of Disturbances

The paper considers the problem of stabilizing a spacecraft with a three-axis magnetic attitude control system in the vicinity of an unstable gravitational equilibrium position. A special reference motion is constructed using the particle swarm optimization method. This motion should provide a minim...

Full description

Saved in:
Bibliographic Details
Published in:Cosmic research Vol. 63; no. 2; pp. 170 - 185
Main Authors: Drobysheva, A., Tkachev, S.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.04.2025
Springer Nature B.V
Subjects:
Accuracy
Astronomy
Astrophysics and Astroparticles
Astrophysics and Cosmology
Asymptotic methods
Asymptotic properties
Control algorithms
Control systems
Control theory
Disturbances
Optimization algorithms
Optimization techniques
Particle swarm optimization
Physics
Physics and Astronomy
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Spacecraft
Spacecraft attitude control
Stability
Three axis
ISSN:0010-9525, 1608-3075
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper considers the problem of stabilizing a spacecraft with a three-axis magnetic attitude control system in the vicinity of an unstable gravitational equilibrium position. A special reference motion is constructed using the particle swarm optimization method. This motion should provide a minimum projection of the control torque onto the geomagnetic induction vector. In addition, control gains are sought using the particle swarm optimization method to ensure asymptotic stability of the obtained motion. However, the problem of loss of stability arises in the presence of disturbances not taken into account at the stage of constructing the reference motion. The paper proposes a method for selecting control gains that allows maintaining asymptotic stability in a disturbed case.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0010-9525
1608-3075
DOI:10.1134/S0010952525601082