SAFE CONSTRUCTION IN SPACE: USING SWARMS OF SMALL SATELLITES FOR - - PowerPoint PPT Presentation

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SAFE CONSTRUCTION IN SPACE: USING SWARMS OF SMALL SATELLITES FOR - - PowerPoint PPT Presentation

Inf nformation n Scienc nces Ins nstitute & Space Eng ngine neering ng Research Cent nter (SERC) SAFE CONSTRUCTION IN SPACE: USING SWARMS OF SMALL SATELLITES FOR IN-SPACE MANUFACTURING Rahul Rughani, David Barnhart 34 th Annual Small


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SAFE CONSTRUCTION IN SPACE: USING SWARMS OF SMALL SATELLITES FOR IN-SPACE MANUFACTURING

34th Annual Small Satellite Conference Pre-Conference Workshop (Advanced Concepts), August 2, 2020 Logan, Utah (Virtual) Inf nformation n Scienc nces Ins nstitute & Space Eng ngine neering ng Research Cent nter (SERC)

Rahul Rughani, David Barnhart

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On-Orbit Construction

Credit: Made In Space Credit: Made In Space Credit: NASA

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  • Enables construction of

complex orbital assets, and repair of existing assets.

Swarm Operations in Orbit

On-orbit assembly Cooperative Proximity Operations

  • Redundant nature of swarm and

large number of spacecraft allow for higher autonomy and reliability

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Current State-of-the-Art

  • MEV-1 successfully docked to a retired

GEO spacecraft to provide mission extension services [1]

Credit: Northrop Grumman Credit: Northrop Grumman

MEV-1 docks with Intelsat-901

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Trajectory Generation

  • Free-flight trajectories,

combined with conjunction analysis, used to build safe swarms

  • Optimization performed

using genetic algorithms to find solutions satisfying a set

  • f criteria [2,3]

– Minimize insertion ∆v – Trajectories with no collision risk for at least 24h

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Two-Stage Iterative Solver

  • Two-stage process allows for

efficient solutions, with high- fidelity perturbation models

– J2 gravitational perturbations (extended to 4th order spherical harmonics for GEO [4]) – Solar Radiation Pressure (GEO) – Sun-Moon Perturbations (GEO)

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  • Sensor Fusion combines

inputs from multiple sensors, spread across the swarm

  • Using a Kalman filter,

this shared data can be used to pinpoint the relative positions of each spacecraft more accurately, reducing their covariances

Swarm Sensor Fusion

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Sensor-Fusion Kalman Filtering

  • Sensor fusion can be applied to Kalman

filters

– Simulation uses the Unscented Kalman Filter since the perturbed 2-body problem is a non- linear problem

  • Similar to a standard Kalman filter, except

the update step is repeated for each sensor in the shared swarm sensor net

– Adds very little computational overhead, as most of the wall-time is spent on the propagation step of the UKF

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Trajectory Example

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In-Space Manufacturing

  • Trajectory on right shows

example of 10-spacecraft swarm for in-space manufacturing

  • Swarm roles split up into the

staging area, a comm relay, and close-quarters robotic

  • perations

Staging Area Close- Quarters Comm Relay

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Scaling with Number of Spacecraft

  • Conjunction de-confliction

takes the most wall-time

  • Scales as O(n2)
  • Runtime also depends on

pseudo-random initial conditions

– Test cases use averages over 100 trial runs for each swarm size

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Conclusion

  • Although in the near term, this

system will require ground intervention when the swarm deviates from its planned trajectories due to an anomaly, the long term goal is to develop an autonomous system that can accept and remediate failures of

  • ne or more of its members in

real-time

  • While not possible at the

moment, real-time generation of trajectories for N spacecraft may be possible with further

  • ptimization and machine

learning techniques in software.

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References

[1] Caleb Henry. Northrop Grumman’s MEV-1 servicer docks with Intelsat satellite. SpaceNews, Feb 2020. https://spacenews.com/northropgrummans-mev-1-servicer-docks-withintelsat-satellite/ [2] Rughani, R., Barnhart, D.A., Using Genetic Algorithms for Safe Swarm Trajectory Optimization. 30th AIAA/AAS Space Flight Mechanics Meeting. Orlando, Fl, USA, 6-10 January, 2020. [3] Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed., Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1989. [4] Vallado, David A. Fundamentals of Astrodynamics and Applications. Vol. 12. Springer Science & Business Media, 2001.