Engineering topics
Publications and source records attributed to Murphy, Terri B..
An evaluation is made of the application of novel, AI-capabilities-related technologies to aerospace systems. Attention is given to expert-system shells for Space Shuttle Orbiter mission control, manpower and processing cost reductions at the NASA Kennedy Space Center's 'firing rooms' for liftoff monitoring, the automation of planetary exploration systems such as semiautonomous mobile robots, and AI for battlefield staff-related functions.
A distributed system of proprietary engineering-class workstations is incorporated into NASA's Space Shuttle Mission-Control Center to increase the automation of mission control. The Real-Time Data System (RTDS) allows the operator to utilize expert knowledge in the display program for system modeling and evaluation. RTDS applications are reviewed including: (1) telemetry-animated communications schematics; (2) workstation displays of systems such as the Space Shuttle remote manipulator; and (3) a workstation emulation of shuttle flight instrumentation. The hard and soft real-time constraints are described including computer data acquisition, and the support techniques for the real-time expert systems include major frame buffers for logging and distribution as well as noise filtering. The incorporation of the workstations allows smaller programming teams to implement real-time telemetry systems that can improve operations and flight testing.
The development of two real-time expert systems for making flight-critical decisions during Space Shuttle missions is discussed. The expert systems, which monitor Space Shuttle communications and the Shuttle main engines, were first used in the STS-26 mission. The NASA Mission Control Center information systems are described. Consideration is given to the use of the C language inference production system expert system tool to develop the integrated communications officer (INCO) expert system, which monitors the Shuttle communications and data systems. The layered architecture of the INCO expert system is examined and results are presented from the use of the INCO expert system during Shuttle missions.