The InSight APSS Data Return Anomaly: Development of an Automated Detection and Response Method

Autor: Jonathan Grinblat, Kyle Cloutier, Jesse Mendoza, E. Barrett, Emily Manor-Chapman, Farah Alibay, Nimisha Mittal
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE Aerospace Conference.
DOI: 10.1109/aero47225.2020.9172765
Popis: The Auxiliary Payload Sensor Suite (APSS), a collection of environmental sensors carried by the Interior exploration using Seismic Investigations, Geodesy, and Heat Transport (InSight) lander, is capable of measuring Martian air temperature, wind speed, atmospheric pressure, and local magnetic fields. After beginning Mars surface operations, the instrument experienced an anomaly that prevented it from returning science data. The anomaly affected not only the instrument, but also had impacts at the system level. APSS returned to normal operations, however the anomaly occurred again just several weeks later. This proved the need for a streamlined recovery response that would be adaptable to the operations planning cycle and workforce, that would limit the system-level impacts of the anomaly, and that would minimize the instrument downtime. The recovery response evolved from a ground-in-the-loop response to an onboard method for detecting occurrences of the anomaly and automatically recovering the instrument. Ultimately, the automated detection and response method reduced instrument downtime from days to hours and significantly minimized science data loss.
Databáze: OpenAIRE