Reduced Order Electrostatic Force Field Modeling of 3D Spacecraft Shapes

Metadata Updated: February 28, 2019

The Autonomous Vehicles Systems (AVS) Lab at CU Boulder has been pursuing research in Coulomb charge control of spacecraft for several years. The electrostatic potential of a craft can be controlled very accurately and near instantaneously by the continuous emission of positively or negatively charged particles. For spacecraft in a geosynchronous orbit or beyond, where the resulting electric fields are large enough to overcome the Debye shielding from the relatively low plasma environment, the interaction forces between multiple charged bodies can be used to significantly alter their relative motion. We are currently verifying these theories with a custom test bed that allows for positional control of a charged conductor suspended on a frictionless track. As of yet, all the models and experiments treat the spacecraft as perfectly conducting spheres, an assumption that will break down when non-spherical charged bodies interact with separation distances on the order of spacecraft dimensions, as is the case for many of the practical applications of this technology.

Full analytical solutions for the 3D electrostatic fields and forces from interacting non-uniform charged bodies are not available. Near exact solutions can be determined using finite element methods, but these numerical methods are too computationally expensive to employ within a control loop for constantly moving physical bodies. There are two suggested approaches that have the potential to provide useable reduced order models for the electrostatic force fields from 3D spacecraft shapes. The first relies on a theory that the total force on a conductor can be established from the surface charge distribution or adjacent electric fields alone. Measuring one or the other will allow for full force determination. The proposed research will require characterization of the necessary sensor specifications and feasibility of utilizing any suggested hardware. The second approach involves approximating a full 3D charged object with a collection of spherical conductors, whose parameters are chosen to match the full numerical solution. Since the parameters of the reduced order model have a non-linear relation to the electrostatic forces, a differential correction method will need to be implemented for proper curve fitting. The current AVS test bed is to be expanded to conduct experiments that verify the dynamics and control theory derived from these models.

Certain spaceflight applications lend themselves very logically to the close proximity charge control problem. As large space missions progress beyond Earth orbit and require more and more propellant to reach their destination, rendezvous with permanent refueling stations may become necessary for mission success, and Coulomb charging is one option to achieve accurate docking. Moreover, to ensure external integrity, spacecraft may wish to deploy small cameras or other robotic devices that can optimally be controlled with Coulomb charging, but are too close to ignore 3D charge effects. Lastly, spacecraft can use electrostatic forces to deorbit space debris in an ever cluttered space environment and achieve improved Space Situational Awareness. Current and future formation flight missions that could benefit from Coulomb force control include PRISMA, NASA's proposed terrestrial planet finder and stellar imager concepts, and ESA's Darwin mission.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_4295
Maintainer Email
Public Access Level public
Bureau Code 026:00
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Metadata Catalog ID
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Catalog Describedby
Harvest Object Id 96a8b4c4-97b8-47bc-8938-50b41cff8067
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-08-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash b68ac86a9f660e69350f51773ffe6e4ac695dcfd
Source Schema Version 1.1

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