A market-based conflict resolution approach for satellite mission planning

Hilland, J.; Wessen, Randii R.; Porter, David; Austin, Richard

doi:10.1109/17.946526

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…Once the demand is uploaded to satellite, it is executed in due time. The execution schedule depends on the available onboard resources of satellite and missions operations and data acquisition scenarios [7] . Yet, the demand execution schedule does not depend on ground segment location [7] .…”

Section: Effect Of Ground Segment Location On In-orbit Responsivementioning

confidence: 99%

“…The execution schedule depends on the available onboard resources of satellite and missions operations and data acquisition scenarios [7] . Yet, the demand execution schedule does not depend on ground segment location [7] . Similar to wait time for demand upload, there is usually a wait time to download obtained data to ground segment, if applicable.…”

Section: Effect Of Ground Segment Location On In-orbit Responsivementioning

confidence: 99%

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Monte carlo simulation for modeling the effect of ground segment location on in-orbit responsiveness of LEO sunsynchronous satellites

Navabi

Khamseh

2011

J. Electron.(China)

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Responsiveness is a challenge for space systems to sustain competitive advantage over alternate non-spaceborne technologies. For a satellite in its operational orbit, in-orbit responsiveness is defined as the capability of the satellite to respond to a given demand in a timely manner. In this paper, it is shown that Average Wait Time (AWT) to pick up user demand from ground segment is the appropriate metric to evaluate the effect of ground segment location on in-orbit responsiveness of Low Earth Orbit (LEO) sunsynchronous satellites. This metric depends on pattern of ground segment access to satellite and distribution of user demands in time domain. A mathematical model is presented to determine pattern of ground segment access to satellite and concept of cumulative distribution function is used to simulate distribution of user demands for markets with different total demand scenarios. Monte Carlo simulations are employed to take account of uncertainty in distribution and total volume of user demands. Sampling error and standard deviation are used to ensure validity of AWT metric obtained from Monte Carlo simulations. Incorporation of the proposed metric in the ground segment site location process results in more responsive satellite systems which, in turn, lead to greater customer satisfaction levels and attractiveness of spaceborne systems for different applications. Finally, simulation results for a case study are presented.

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Section: Effect Of Ground Segment Location On In-orbit Responsivementioning

confidence: 99%

Section: Effect Of Ground Segment Location On In-orbit Responsivementioning

confidence: 99%

Monte carlo simulation for modeling the effect of ground segment location on in-orbit responsiveness of LEO sunsynchronous satellites

Navabi

Khamseh

2011

J. Electron.(China)

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“…Furthermore, although not focused on debris mitigation, Ceriotti and Vasile incorporated an ant colony optimization algorithm within a scheme to generate interplanetary gravity-assist trajectories (Ceriotti and Vasile, 2010). On the other hand, market-based auction algorithms have been successfully applied to spacecraft constellation design and operations (de Weck et al, 2008;Salazar and Tsiotras, 2006;Hilland et al, 2001), though they have yet to be applied to the mitigation of space debris or similar spacecraft routing problems.…”

Section: Introductionmentioning

confidence: 98%

Application of multi-agent coordination methods to the design of space debris mitigation tours

Stuart

Howell

Wilson

2016

Advances in Space Research

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“…The optimal problem of control force from the actuator in the structural control area is then transformed to that of allocation resources in the market. Since the MBC concept was proposed by Clearwater [4], it had been developed and applied in many fields, such as the telecommunication, mechanism, and mission plan [5][6][7][8][9]. Lynch and Law [10] firstly applied the MBC method in civil engineering and subsequently presented a market-based energy control method.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Control with Market-Based Control Strategy to Structures

Li²,

Liu³

2013

Mathematical Problems in Engineering

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The market-based control as a control strategy is developed based on an analogy between the control force-energy source in the structural area and the supply demand in the free market. The optimal problem of control force from an actuator is transformed to that of the allocation resource in the market. Since the supply-demand relation model and iteration procedure for the optimal price solution are necessary and relatively hard to understand and perform for civil engineers, the fuzzy logical method is proposed in the framework of the market-based control to acquire an equivalent system corresponding to the market-based control method. An equivalent fuzzy logical rule is established through analyzing a single-degree-of-freedom system with the controller using the MBC strategy under earthquakes. The results show that the fuzzy logical method is able to also reduce the displacement and acceleration responses effectively similar to the MBC method, and the consumed computational time for the fuzzy logical method is obviously saved.

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A market-based conflict resolution approach for satellite mission planning

Cited by 8 publications

References 21 publications

Monte carlo simulation for modeling the effect of ground segment location on in-orbit responsiveness of LEO sunsynchronous satellites

Monte carlo simulation for modeling the effect of ground segment location on in-orbit responsiveness of LEO sunsynchronous satellites

Application of multi-agent coordination methods to the design of space debris mitigation tours

Application of Fuzzy Control with Market-Based Control Strategy to Structures

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