Dis-MAESTRO

Distributed Management through intelligent, AdaptivE, autonomouS, faulT identification, and diagnosis, Reconfiguration/replanning/rescheduling Optimization (Dis-MAESTRO)

During this NASA funded effort, Stottler Henke adapted the MAESTRO architecture to manage radiation-tolerant computational hardware and detect and diagnose faults in an electrical power system (EPS) for a CubeSat onboard the International Space Station (ISS). Our CubeSat was launched to the ISS on February 19, 2022 where it remained for an 18 month long experiment, during which time it detected and diagnosed faults in the CubeSat EPS and monitored the radiation-induced fault error correction process. Dis-MAESTRO used model-based reasoning (MBR), which modeled the CubeSat EPS and detected deviations from expected behavior. We also used MBR to simulate the expected radiation fault correction process and detect failures in that process. As part of this effort, we integrated Aurora and MAESTRO into NASA’s core Flight System (cFS). 

Our research institution partner, Montana State University (MSU), provided real satellite telemetry data and supplemented its existing laboratory hardware testbed (LabSat) with additional boards for more complex subsystems and faults in one subsystem that cause issues in others. This new augmented LabSat was used for testing our distributed prototype with real hardware failures. MSU also designed and built the Radiation Tolerant Computer RadPC that was installed in the CubeSat and ran our fault detection, diagnosis, and recovery software.