Cost-Benefit Analysis of a Notational Fractionated SATCOM Architecture

Brown, Owen; Bremenko, P.; Roberts, Christopher J.

doi:10.21236/ada506234

Cited by 6 publications

(4 citation statements)

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“…These equations can be written in general state-space form as (2) This linear dynamics model is used for control algorithm design; while a more accurate spacecraft dynamics model, as described in the following section, is exploited during numerical simulations.…”

Section: A Linear Model Of Multiple Spacecraft Relative Motionmentioning

confidence: 99%

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Autonomous Distributed Control of Simultaneous Multiple Spacecraft Proximity Maneuvers

McCamish

Romano

Yun

2010

IEEE Trans. Automat. Sci. Eng.

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Abstract-An autonomous distributed control algorithm for multiple spacecraft performing simultaneous close proximity maneuvers has been developed. Examples of these maneuvers include automated on-orbit inspection, assembly, or servicing. The proposed control algorithm combines the control effort efficiency of the Linear Quadratic Regulator (LQR) and the robust collision avoidance capability of the Artificial Potential Function (APF) method. The LQR control effort serves as the attractive force toward goal positions, while APF-based repulsive functions provide collision avoidance for both fixed and moving obstacles. Comprehensive validation and performance evaluation of the control algorithm is conducted by numerical simulations. The simulation results show the developed LQR/APF algorithm to be both robust and efficient for controlling multiple spacecraft during simultaneous docking maneuvers.Note to Practitioners-Use of multiple spacecraft for close proximity operations is expected to increase in future space missions. A challenging problem is how to automate motion planning and control of multiple spacecraft in close proximity. This paper presents a distributed control algorithm for simultaneous docking maneuvers of multiple spacecraft.

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Section: A Linear Model Of Multiple Spacecraft Relative Motionmentioning

confidence: 99%

“…IMULTANEOUS autonomous control of multiple spacecraft maneuvers will be required for several planned space missions in the near future [1], [2]. Large spacecraft formation tracking and station keeping has received a great deal of study, but research in the area of multiple spacecraft close proximity operations is limited [3], [4].…”

mentioning

confidence: 99%

Autonomous Distributed Control of Simultaneous Multiple Spacecraft Proximity Maneuvers

McCamish

Romano

Yun

2010

IEEE Trans. Automat. Sci. Eng.

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“…Simultaneous autonomous control of multiple spacecraft maneuvering will be required for several planned space missions in the near future [19,20]. Large-spacecraft formation tracking and station keeping has received a great deal of study, but research in the area of multiple-spacecraft close-proximity operations is limited [21,22].…”

Section: Overview Of Nps Multiple-spacecraftmentioning

confidence: 99%

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

McCamish¹,

Romano²,

Nolet³

et al. 2009

Journal of Spacecraft and Rockets

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A multiple-spacecraft close-proximity control algorithm was implemented and tested with the Synchronized Position Hold Engage and Reorient Experimental Satellites (SPHERES) facility onboard the International Space Station. During flight testing, a chaser satellite successfully approached a virtual target satellite while avoiding collision with a virtual obstacle satellite. This research contributes to the control of multiple spacecraft for emerging missions, which may require simultaneous gathering, rendezvous, and docking. The unique control algorithm was developed at the U.S. Naval Postgraduate School and integrated onto the Massachusetts Institute of Technology's SPHERES facility. The control algorithm implemented combines the efficiency of the linear quadratic regulator (used for attraction toward goal positions) and the robust collision-avoidance capability of the artificial potential field method (used for repulsion from moving obstacles). The amalgamation of these two control methods into a multiple-spacecraft close-proximity control algorithm yielded promising results, as demonstrated by simulations. Comprehensive simulation evaluation enabled implementation and ground testing of the spacecraft control algorithm on the SPHERES facility. Successful ground testing led to the execution of flight experiments onboard the International Space Station, which demonstrated the proposed algorithm in a microgravity environment. NomenclatureA, B, C = state-space matrices a = acceleration due to linear-quadratic-regulator-and artificial-potential-field-determined control effort a APF = acceleration due to artificial-potential-fielddetermined control effort a LQR = acceleration due to linear-quadratic-regulatordetermined control effort a m = maximum acceleration a obs = acceleration of chaser spacecraft toward an obstacle a x;y;z = acceleration due to the control effort

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“…Simultaneous control of multiple cooperative spacecraft is required for several planned space missions in the near future. [8][9] Large spacecraft formation tracking and station keeping has received a great deal of study, but research in the area of multiple spacecraft close-proximity operations is limited. [10][11] There are numerous mission scenarios that involve the divergence or convergence of multiple spacecraft in close proximity.…”

Section: Overview Of Nps Multiple Spacecraft Close-proximity Contmentioning

confidence: 99%

Ground and Space Testing of Multiple Spacecraft Control During Close-Proximity Operations

McCamish

Romano

Nolet³

et al. 2008

AIAA Guidance, Navigation and Control Conference and Exhibit

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A multiple spacecraft close-proximity control algorithm was implemented and tested with the Synchronized Position Hold Engage and Reorient Experimental Satellites (SPHERES) facility onboard the International Space Station (ISS). During flight testing, a chaser satellite successfully approached a virtual target satellite, while avoiding collision with a virtual obstacle satellite. This research contributes to the control of multiple spacecraft for emerging missions, which may require simultaneous gathering, rendezvous, and docking. The unique control algorithm was developed at NPS and integrated onto the MIT SPHERES facility. The control algorithm implemented combines the efficiency of the Linear Quadratic Regulator (LQR), and the robust collision avoidance capability of the Artificial Potential Function method (APF). The LQR control effort serves as the attractive force toward goal positions, while the APF-based repulsive functions provide collision avoidance for both fixed and moving obstacles. The amalgamation of these two control methods into a multiple spacecraft close-proximity control algorithm yielded promising results as demonstrated by simulations performed at NPS. Comprehensive simulation evaluation enabled implementation and testing of the spacecraft control algorithm on the SPHERES facility at MIT. Finally, successful ground testing enabled execution of flight testing onboard the ISS. The NPS's Spacecraft Robotics Laboratory (SRL) and MIT's Space Systems Laboratory (SSL) simulations, the MIT's SSL SPHERES ground testing, and the SPHERES flight testing results are all presented in this paper.

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Cost-Benefit Analysis of a Notational Fractionated SATCOM Architecture

Cited by 6 publications

References 0 publications

Autonomous Distributed Control of Simultaneous Multiple Spacecraft Proximity Maneuvers

Autonomous Distributed Control of Simultaneous Multiple Spacecraft Proximity Maneuvers

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

Ground and Space Testing of Multiple Spacecraft Control During Close-Proximity Operations

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