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Incorporating Lessons Learned from Past Missions for InSight Activity Planning and Sequencing

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Space Operations: Inspiring Humankind's Future

Abstract

The NASA’s InSight mission will place a lander on Mars in November 2018. During the first 90 days after landing on Mars, InSight will deploy two primary instruments on the surface: a seismometer and a heat probe. InSight will be operated daily at the Jet Propulsion Laboratory (JPL) during this time with a strict tactical timeline of 10 h. To support this rapid turnaround, significant automation is being developed to decrease human effort and increase operational efficiency. During tactical operations, science planning on InSight will be performed using the JPL APGen planning software, along with a novel Graphical User Interface (GUI) developed specifically for InSight, SPImaster. Every JPL mission invariably develops its own software for surface operations. This results in missions with smaller development budgets, such as the Phoenix lander mission, developing or utilizing operations software which is difficult to work with, resulting in issues during the lifetime of the mission. Fortunately, InSight has taken a more multi-mission approach in the development of the operations software and has been able to create software with all of the necessary features found on larger Flagship missions, at a fraction of the cost. The project has been able to do this by investing in multi-mission software tools and sharing code with other missions, such as the Europa Clipper project. Building off of the lessons learned from the Phoenix lander, Mars Science Laboratory (MSL), and Mars Exploration Rover (MER) missions, InSight developed a multi-mission system design, from which both small and large projects can learn. This paper, which derives material from a paper the authors delivered at the SpaceOps 2018 conference (Ridenhour et al. in 2018 SpaceOps Conference, SpaceOps Conferences (AIAA 2018-2552), 2018 [1]), describes the InSight planning software and compares its use to planning software developed for the MSL, MER, and Phoenix missions. All included figures are reproduced here with the permission of the American Institute of Aeronautics and Astronautics (AIAA), the publishers of the transactions of SpaceOps.

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Abbreviations

AMMOS:

Advanced Multi-Mission Operations System

APGen:

Activity Plan Generator

APSS:

Auxiliary Payload Sensor Suite

CNES:

National Centre for Space Studies

DLR:

German Aerospace Center

DSL:

Domain-Specific Language

GUI:

Graphical User Interface

HP3:

Heat Flow and Physical Properties Probe

ICC:

Instrument Context Camera

IDA:

Instrument Deployment Arm

IDC:

Instrument Deployment Camera

IDS:

Instrument Deployment System

IFG:

InSight FluxGate

InSight:

Interior Exploration using Seismic Investigations, Geodesy and Heat Transport

IOT:

Instrument Operations Team

JPL:

Jet Propulsion Laboratory

KOP:

Keeper of the Plan

LMS:

Lockheed Martin Space

MAPGEN:

Mixed-Initiative Activity Plan Generator

MER:

Mars Exploration Rover

MMPAT:

Multi-Mission Power Analysis Tool

MRO:

Mars Reconnaissance Orbiter

MSL:

Mars Science Laboratory

MSLICE:

MSL InterfaCE

NASA:

National Aeronautics and Space Administration

ODY:

2001 Mars Odyssey

ORT:

Operational Readiness Test

PEL:

Power Equipment List

PUL:

Payload Uplink Lead

RAVEN:

Resource and Activity Visualization Engine

RISE:

Rotation and Interior Structure Experiment

SAP:

Science Activity Planner

SCT:

Spacecraft Team

SEIS:

Seismic Experiment for Interior Structure

SEQGEN:

Sequence Generator

sol:

Martian day (approx. 40 min longer than an Earth day)

SPI:

Science Plan Integrator

SPIFe:

Scheduling and Planning Interface for Exploration

SPImaster:

Science Plan Integration master

TEM-A:

Active Thermal Measurement Suite

TEM-P:

Passive Thermal Measurement Suite

TWINS:

Temperature and Wind for InSight Suite

VCS:

Version Control System

WTS:

Wind and Thermal Shield

References

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Acknowledgements

The views and opinions expressed in this article are those of the authors and do not necessarily reflect the opinions of those whose contributions have been acknowledged. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The author would like to thank Chet Joswig, James Biehl, Natalie Rezek, and Dylan Stewart for their insights into the development of MSL planning software and processes, Matthew Keuneke for sharing his knowledge regarding the MER planning software and processes, and Kenneth Fujii for his information about the Phoenix planning software and processes. The author would also like to thank Pauline Hwang, James Hazelrig, Shaheer Khan, and Christopher Wells-Weitzner for their comments which greatly improved the paper.

Copyright 2018 California Institute of Technology. US Government sponsorship acknowledged.

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Correspondence to Forrest Ridenhour .

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Ridenhour, F., Lawler, C., Roffo, K., Smith, M., Wissler, S., Maldague, P. (2019). Incorporating Lessons Learned from Past Missions for InSight Activity Planning and Sequencing. In: Pasquier, H., Cruzen, C., Schmidhuber, M., Lee, Y. (eds) Space Operations: Inspiring Humankind's Future. Springer, Cham. https://doi.org/10.1007/978-3-030-11536-4_25

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  • DOI: https://doi.org/10.1007/978-3-030-11536-4_25

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