Universal adaptive control of satellite formation flying

Pongvthithum, R.; Veres, Sándor M.; Gabriel, Stephen; Rogers, Eric

doi:10.1080/00207170412331330887

Cited by 55 publications

(32 citation statements)

References 7 publications

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“…(10) consists of a nonlinear nonsmooth optimization problem, its online solution onboard spacecraft with limited computational capabilities may not be possible. Instead, a number of suboptimal policies have been considered in the literature [16][17][18][19]24,29,30]. MPC is a potential design method for the problem described previously, because it enables constraints to be placed on inputs and outputs and the control law can be explicitly parameterized in feedback form.…”

Section: Leomanni Rogers and Gabrielmentioning

confidence: 99%

Explicit Model Predictive Control Approach for Low-Thrust Spacecraft Proximity Operations

Leomanni

Rogers

Gabriel

2014

Journal of Guidance, Control, and Dynamics

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The key role of autonomous systems in future space missions has made model predictive control a very attractive guidance and control technique. However, the capability of low-power spacecraft processors to handle the real-time computational load of this technique still needs to be fully established, especially for complex control problems. This paper introduces a method to improve the computational efficiency of model predictive control when applied to the problem of autonomous rendezvous and proximity maneuvering using low-thrust propulsion. To ensure safe trajectories in this scenario, a long control horizon is required and the control problem must be solved at a relatively fast sampling rate. The proposed design addresses such requirements by parameterizing the thrust profile with a set of Laguerre functions. In this setting, the number of control variables can be made significantly smaller than the length of the control horizon, as opposed to standard design methods. By exploiting this property, in combination with multiparametric programming techniques, an explicit control law is derived that is suitable for real-time implementation on simple hardware. The performance of this approach is demonstrated on a small spacecraft mission and compared with that of other control techniques.

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Section: Leomanni Rogers and Gabrielmentioning

confidence: 99%

Explicit Model Predictive Control Approach for Low-Thrust Spacecraft Proximity Operations

Leomanni

Rogers

Gabriel

2014

Journal of Guidance, Control, and Dynamics

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“…The spacecraft agent is availed with numerous possible control methodologies, afforded by the considerable amount of literature available on the subject of spacecraft control, inclusive of planning, adaptive and reactive control systems [16,[19][20][21][22][23][24]. It is the task of the reasoning engine to select an appropriate control methodology to deal with the presented scenario, perform the appropriate control and analyse the resultant output in order to improve performance.…”

Section: An Exaple Implementationmentioning

confidence: 99%

An Agent Based Framework for Adaptive Control and Decision Making of Autonomous Vehicles

Dennis¹,

Fisher

Lincoln

et al. 2010

IFAC Proceedings Volumes

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The paper addresses the problem of defining a theoretical physical agent framework that combines rational agent decision making with abstractions from predictions and planning of the future of the physical environment. The objective of the new framework is to reduce complexity of logical inference of agents controlling autonomous vehicles and robots in space exploration, deep underwater exploration, defense reconnaissance, automated manufacturing and household automation. An essential feature of the framework is automated realtime evaluations of abstractions on the effects of future actions. Comparison is made with hybrid automaton based solutions in terms of computational complexity.

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“…In [16] the underlying dynamics considered were not based on Hill's equations but on fully nonlinear ones as in [17], where a novel learning controller has been realized for formation control. An advantage of the proposed method in [16] is that the results hold globally, and the positions are adaptively tracked against parameter variations. However, a limitation is that the scheme requires both the relative position and velocity information.…”

Section: Introductionmentioning

confidence: 99%

“…One main drawback of the methodology is that it is difficult to apply rigorous analytical analysis to the closed loop and hence it is difficult to obtain an explicit guaranteed proof of collective stability of the system. Adaptive control has been employed in [16] to obtain a less conservative and generic adaptive scheme for the position tracking of formations of satellites. In [16] the underlying dynamics considered were not based on Hill's equations but on fully nonlinear ones as in [17], where a novel learning controller has been realized for formation control.…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive control has been employed in [16] to obtain a less conservative and generic adaptive scheme for the position tracking of formations of satellites. In [16] the underlying dynamics considered were not based on Hill's equations but on fully nonlinear ones as in [17], where a novel learning controller has been realized for formation control. An advantage of the proposed method in [16] is that the results hold globally, and the positions are adaptively tracked against parameter variations.…”

Section: Introductionmentioning

confidence: 99%

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Observer‐based controller design with disturbance feedforward framework for formation control of satellites

Menon

Edwards

Paulino

2015

IET Control Theory & Applications

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In this paper, a bespoke sliding mode nonlinear observer and a linear controller framework is proposed for achieving robust formation control of a cluster of satellites in the case of a circular reference orbit. Exploiting the structure of the satellite dynamics, a nonlinear observer is proposed based on super-twist sliding mode ideas. The observer estimates the states and any unknown bounded disturbances in finite time. The stability properties of the observers are demonstrated using Lyapunov techniques. A distributed controller, based on the estimated states and the relative position output information, depending on the underlying communication topology, is proposed. A polytopic representation of the collective dynamics which depends on the eigenvalues of the Laplacian matrix associated with the communication topology is used to synthesize the gains of the proposed control laws. A simulation example is used to demonstrate the efficacy of the proposed approach.

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Universal adaptive control of satellite formation flying

Cited by 55 publications

References 7 publications

Explicit Model Predictive Control Approach for Low-Thrust Spacecraft Proximity Operations

Explicit Model Predictive Control Approach for Low-Thrust Spacecraft Proximity Operations

An Agent Based Framework for Adaptive Control and Decision Making of Autonomous Vehicles

Observer‐based controller design with disturbance feedforward framework for formation control of satellites

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