Model-Driven Development of Reliable Avionics Architectures for Lunar Surface SystemsThis paper discusses a method used for the systematic improvement of NASA s Lunar Surface Systems avionics architectures in the area of reliability and fault-tolerance. This approach utilizes an integrated system model to determine the effects of component failure on the system s ability to provide critical functions. A Markov model of the potential degraded system modes is created to characterize the probability of these degraded modes, and the system model is run for each Markov state to determine its status (operational or system loss). The probabilistic results from the Markov model are first produced from state transition rates based on NASA data for heritage failure rate data of similar components. An additional set of probabilistic results are created from a representative set of failure rates developed for this study, for a variety of component quality grades (space-rated, mil-spec, ruggedized, and commercial). The results show that careful application of redundancy and selected component improvement should result in Lunar Surface Systems architectures that exhibit an appropriate degree of fault-tolerance, reliability, performance, and affordability.
Document ID
20100011147
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Borer, Nicholas (Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Claypool, Ian (Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Clark, David (Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
West, John (Draper (Charles Stark) Lab., Inc. Cambridge, MA, United States)
Somervill, Kevin (NASA Langley Research Center Hampton, VA, United States)
Odegard, Ryan (Draper (Charles Stark) Lab., Inc. Houston, TX, United States)
Suzuki, Nantel (NASA Headquarters Washington, DC United States)