2011
DOI: 10.1007/s11432-011-4191-1
|View full text |Cite
|
Sign up to set email alerts
|

Formation control for networked spacecraft in deep space: with or without communication delays and with switching topology

Abstract: In this paper, several formation controllers are developed with constant and variable connected communication topology for six-degree-of-freedom (6-DOF) networked spacecraft flying in deep space with constant and time-varying communication delays considered. In the control algorithm, any explicit leader does not exist in the formation team and it is required that each spacecraft communicate only with its neighbors and therefore the required communication loads of the whole formation is greatly reduced. The pro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 18 publications
0
5
0
Order By: Relevance
“…Control systems play an important role in achieving attitude maneuvering, attitude tracking, and highprecision pointing of spacecraft. Because the kinematic and dynamic equations of rigid spacecraft possess highly coupled nonlinear characteristics and systems may suffer from external disturbances, inertia-matrix uncertainties, and even actuator failures, the attitude-control problem has attracted significant attention over the past few decades [1][2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…Control systems play an important role in achieving attitude maneuvering, attitude tracking, and highprecision pointing of spacecraft. Because the kinematic and dynamic equations of rigid spacecraft possess highly coupled nonlinear characteristics and systems may suffer from external disturbances, inertia-matrix uncertainties, and even actuator failures, the attitude-control problem has attracted significant attention over the past few decades [1][2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, during the information exchange, the communication topologies may change because of link failure, link reconfiguration, and time delays in the communication links, which may deteriorate the control performance of the formation. In order to deal with this problem, coordination controllers with communication delays and switching topologies were developed in Jin and Sun 7 and Wang et al 8 Most of the aforementioned coordination controllers did not consider the control input saturation constraint. Indeed, magnitude constraints on the actuator outputs are a major and unavoidable problem in practical spacecraft control system applications.…”
Section: Introductionmentioning
confidence: 99%
“…Considering the actuators with physical limitations, the decentralized coordinated control problems for formation flying spacecraft with input saturation were investigated in Zhang and Song. 9,10 However, all those controllers in various studies [2][3][4][5][6][7][8][9][10] were asymptotically stable which leaded to that the closed-loop tracking systems converged to the equilibrium as time going to infinity. Finite-time control algorithms can provide a faster convergence rate, higher precision control performance, and better disturbance rejection properties, which have attracted the interest of researchers recently.…”
Section: Introductionmentioning
confidence: 99%
“…However, because it can transform the original delayed systems to simple closed-loop ones, the static output feedback problem can be considered as an elementary scheme for the stabilization and control of systems and is more easily realized in both theory and practice see [2][3][4][5][6][7][8][9][10][11]. Thus, it has attracted much attention of researchers, especially because of the development of the delayed systems such as networked control systems [12][13][14][15][16]. Thus, some new results on the static output feedback controller design have been obtained using linear matrix inequality (LMI) conditions.…”
Section: Introductionmentioning
confidence: 99%