Title :
A risk-aware architecture for resilient spacecraft operations
Author :
McGhan, Catharine L. R. ; Murray, Richard M. ; Serra, Romain ; Ingham, Michel D. ; Ono, Masahiro ; Estlin, Tara ; Williams, Brian C.
Author_Institution :
Dept. of Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
Abstract :
In this paper we discuss a resilient, risk-aware software architecture for onboard, real-time autonomous operations that is intended to robustly handle uncertainty in space-craft behavior within hazardous and unconstrained environments, without unnecessarily increasing complexity. This architecture, the Resilient Spacecraft Executive (RSE), serves three main functions: (1) adapting to component failures to allow graceful degradation, (2) accommodating environments, science observations, and spacecraft capabilities that are not fully known in advance, and (3) making risk-aware decisions without waiting for slow ground-based reactions. This RSE is made up of four main parts: deliberative, habitual, and reflexive layers, and a state estimator that interfaces with all three. We use a risk-aware goal-directed executive within the deliberative layer to perform risk-informed planning, to satisfy the mission goals (specified by mission control) within the specified priorities and constraints. Other state-of-the-art algorithms to be integrated into the RSE include correct-by-construction control synthesis and model-based estimation and diagnosis. We demonstrate the feasibility of the architecture in a simple implementation of the RSE for a simulated Mars rover scenario.
Keywords :
aerospace computing; software architecture; space vehicles; RSE; component failures; correct-by-construction control synthesis; ground-based reactions; mission control; mission goals; model-based estimation; real-time autonomous operations; resilient spacecraft executive; resilient spacecraft operations; risk-aware decisions; risk-aware goal-directed executive; risk-aware software architecture; risk-informed planning; simulated Mars rover scenario; space-craft behavior; state estimator; unconstrained environments; Complexity theory; Computer architecture; Resilience; Resource management; Robustness; Space vehicles; Uncertainty;
Conference_Titel :
Aerospace Conference, 2015 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4799-5379-0
DOI :
10.1109/AERO.2015.7119035