In order to ensure long-term ability to meet mission goals and to provide for the safety of the public, ground personnel, and any crew members, nearly all spacecraft include a fault management (FM) system. For a manned vehicle such as Orion, the safety of the crew is of paramount importance. The goal of the Orion Guidance, Navigation and Control (GN&C) fault management system is to detect, isolate, and respond to faults before they can result in harm to the human crew or loss of the spacecraft. Verification of fault management/fault protection capability is challenging due to the large number of possible faults in a complex spacecraft, the inherent unpredictability of faults, the complexity of interactions among the various spacecraft components, and the inability to easily quantify human reactions to failure scenarios. The Orion GN&C Fault Detection, Isolation, and Recovery (FDIR) team has developed a methodology for bounding the scope of FM system verification while ensuring sufficient coverage of the failure space and providing high confidence that the fault management system meets all safety requirements. The methodology utilizes a swarm search algorithm to identify failure cases that can result in catastrophic loss of the crew or the vehicle and rare event sequential Monte Carlo to verify safety and FDIR performance requirements.
Orion GN&C Fault Management System Verification: Scope And Methodology
2016
12 pages
Report
Keine Angabe
Englisch
Extraterrestrial Exploration , Quality Control & Reliability , Crew exploration vehicle , Spacecraft guidance , Space navigation , Spacecraft control , Fault detection , Failure analysis , System failures , Systems analysis , Algorithms , Flight simulation , Safety management , Monte carlo method , Proving
Orion Project System Optimization Methodology Overview
AIAA | 2008
|Orion Project System Optimization Methodology Overview
British Library Conference Proceedings | 2008
|Software Verification of Orion Cockpit Displays
NTRS | 2017
|Software Verification of Orion Cockpit Displays
NTIS | 2017
|