Satellite cluster flight using on-off cyclic control

Zhang, Hao; Gurfil, Pini

doi:10.1016/j.actaastro.2014.10.004

Cited by 18 publications

(8 citation statements)

References 33 publications

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“…To effectively model and manipulate the relative distance under perturbations affecting low-Earth-orbit satellite clusters (e.g., the second zonal harmonic J 2 and drag), a subset of mean-orbit elements (i.e., [ a, e, I]) is of particular interest, where a is the mean semimajor axis, e is the mean eccentricity, and I is the mean inclination. During cluster establishment or cluster keeping, the terminal values for each satellite were suggested as [11,20] 8 <…”

Section: B Satellite Cluster Flightmentioning

confidence: 99%

“…It is an extension of a previous work [20]. The communication topology is extended from the previous simple cyclic structure to a more general connected topology.…”

Section: Introductionmentioning

confidence: 97%

“…Stability and convergence are rigorously proven for the nonsmooth closed-loop dynamics. The inevitable chattering of the control, pointed out in [20], is thoroughly investigated; and several practical methods are suggested to mitigate this phenomenon.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Control for Satellite Cluster Flight Under Different Communication Topologies

Zhang

Gurfil

2016

Journal of Guidance, Control, and Dynamics

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Cluster flight algorithms enable the operation of multiple satellites within given distance bounds for long periods of time. Synchronizing the states of the satellites in the cluster is important for both cluster establishment and cluster keeping. This paper offers two distributed orbit control laws with fixed-magnitude thrust for satellite cluster flight based on mean-orbital elements. These controllers are capable of synchronizing the convergence of orbital elements among all satellites. Intersatellite communication is represented by weighted digraphs, and the related stability properties of the closed-loop control system are examined. Global asymptotic stability is proven for the first controller using nonsmooth analysis, whereas the second controller is shown to be only locally asymptotically stable. Furthermore, it is proven that chattering in the thrust direction is unavoidable when using fixed-magnitude thrusters and continuous weights. The occurrence of chattering is analyzed with respect to constant weights and time-varying weights. Two approaches are suggested to mitigate chattering: fast-varying weights and thrust modulation. Numerical simulations are performed to validate the analysis.

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Section: B Satellite Cluster Flightmentioning

confidence: 99%

“…It is an extension of a previous work [20]. The communication topology is extended from the previous simple cyclic structure to a more general connected topology.…”

Section: Introductionmentioning

confidence: 97%

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Distributed Control for Satellite Cluster Flight Under Different Communication Topologies

Zhang

Gurfil

2016

Journal of Guidance, Control, and Dynamics

Self Cite

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“…In recent years, space technology has become one of the most important technologies in modern science. [1][2][3][4] Because of the diversity of space missions, it causes some problems when certain design goals are achieved by one single satellite. For example, the structure becomes more complex, the period of research and development becomes longer, and the costs increase.…”

Section: Introductionmentioning

confidence: 99%

Neural network-based distributed adaptive configuration containment control for satellite formations

Sun

Chen

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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Considering unknown perturbations and model uncertainties, this paper investigates the configuration containment control for satellite formations based on directed communication topologies. We consider that there are multiple leader satellites with constant relative velocities, while only a subset of follower satellites have access to the leaders. First, a distributed velocity observer is proposed for each follower to obtain velocity information of the leaders. Then, a distributed adaptive configuration containment control algorithm is proposed in which the model nonlinear uncertainties are approximated and compensated through neural networks, while the perturbations and approximation errors are compensated by adaptive gain technique. Furthermore, subject to the chattering caused by sign functions, an improved continuous containment strategy is developed. We use graph theory, Lyapunov theory, and Barbalat lemma to demonstrate that both proposed methods can make all the follower satellites converge to the convex hull spanned by the leader satellites. Numerical examples and comparisons are provided to show the effectiveness and performances of the proposed control strategies.

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“…Satellites are used in many fields, like communication satellites, meteorological satellites, and deep space exploration. [1][2][3][4] However, space missions have become more and more diversified, which cause some problems when certain design goals are achieved by one single satellite, for example, the structures become more complex, and the costs increase. Meanwhile, once there exists a partial failure in the satellite, the entire mission is on the risk of failure.…”

Section: Introductionmentioning

confidence: 99%

Distributed finite-time configuration containment control for satellite formation

Sun

Liu

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper investigates the distributed finite-time configuration containment control problem for satellite formation with multiple leader satellites under directed communication topology. We consider that only a portion of follower satellites can receive leaders’ information and unknown perturbations and model uncertainties exist in the dynamics models of satellites. By defining the relative configuration error functions and selecting suitable nonsingular terminal sliding mode variables, a fully distributed finite-time configuration containment control scheme is proposed using the matrix properties of graph theory. The Lyapunov method is used to demonstrate the finite-time convergence property of the closed-loop systems. Numerical examples and comparisons with other methods are provided to show the effectiveness and the performance of the proposed control strategy.

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Satellite cluster flight using on-off cyclic control

Cited by 18 publications

References 33 publications

Distributed Control for Satellite Cluster Flight Under Different Communication Topologies

Distributed Control for Satellite Cluster Flight Under Different Communication Topologies

Neural network-based distributed adaptive configuration containment control for satellite formations

Distributed finite-time configuration containment control for satellite formation

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