Session
Weekday Session 1: Year in Review
Location
Utah State University, Logan, UT
Abstract
The Agile MicroSat (AMS) is a 6U CubeSat designed to operate in very low-Earth orbit (VLEO), an orbit which enables a higher ground resolution given a particular optical sensing aperture. AMS was developed by MIT Lincoln Laboratory in collaboration with Blue Canyon Technologies LLC and Enpulsion GmbH. AMS is hosting three disparate payloads: an indium field effect electric propulsion (FEEP) thruster to change and maintain orbit; a laser demonstration payload called Beacon for adaptive optics experimentation; and a camera payload for visible-spectrum imaging. In order to fully exercise the capability of each payload, the AMS operations team has developed an automated end-to-end processing pipeline which handles experiment scheduling subject to constraints, upload of commands and satellite state estimates to our mission partner BCT, and download and ingest of telemetry for operations planning and the creation of data products. An example product includes a change detection algorithm and image publication workflow, using camera images to detect disaster damage. These payload operation tools have enabled daily interleaved payload operations with minimal manual overhead since the AMS launch on SpaceX's Transporter 5 mission on May 25th, 2022. This paper will describe the architecture of our processing pipeline, mission outcomes, and lessons learned.
Automated Operation of Multiple Payloads on Agile MicroSat (AMS)
Utah State University, Logan, UT
The Agile MicroSat (AMS) is a 6U CubeSat designed to operate in very low-Earth orbit (VLEO), an orbit which enables a higher ground resolution given a particular optical sensing aperture. AMS was developed by MIT Lincoln Laboratory in collaboration with Blue Canyon Technologies LLC and Enpulsion GmbH. AMS is hosting three disparate payloads: an indium field effect electric propulsion (FEEP) thruster to change and maintain orbit; a laser demonstration payload called Beacon for adaptive optics experimentation; and a camera payload for visible-spectrum imaging. In order to fully exercise the capability of each payload, the AMS operations team has developed an automated end-to-end processing pipeline which handles experiment scheduling subject to constraints, upload of commands and satellite state estimates to our mission partner BCT, and download and ingest of telemetry for operations planning and the creation of data products. An example product includes a change detection algorithm and image publication workflow, using camera images to detect disaster damage. These payload operation tools have enabled daily interleaved payload operations with minimal manual overhead since the AMS launch on SpaceX's Transporter 5 mission on May 25th, 2022. This paper will describe the architecture of our processing pipeline, mission outcomes, and lessons learned.
