Production and quality assurance automation in the Goddard Space Flight Center Flight Dynamics Facility

Details Production and quality assurance automation in the Goddard Space Flight Center Flight Dynamics Facility Production and quality assurance automation in the Goddard Space Flight Center Flight Dynamics Facility

Nov 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994smog.symp..509c&link_type=abstract

In its Third International Symposium on Space Mission Operations and Ground Data Systems, Part 1 p 509-516 (SEE N95-17179 04-17)

Computer Science

Computer Systems Design, Ground Support Systems, Numerical Control, Orbit Calculation, Quality Control, Scheduling, Software Tools, Data Acquisition, Data Processing, Spacecraft Tracking

Scientific paper

The Flight Dynamics Facility (FDF) at the NASA Goddard Space Flight Center (GSFC) generates numerous products for NASA-supported spacecraft, including the Tracking and Data Relay Satellites (TDRS's), the Hubble Space Telescope (HST), the Extreme Ultraviolet Explorer (EUVE), and the space shuttle. These products include orbit determination data, acquisition data, event scheduling data, and attitude data. In most cases, product generation involves repetitive execution of many programs. The increasing number of missions supported by the FDF has necessitated the use of automated systems to schedule, execute, and quality assure these products. This automation allows the delivery of accurate products in a timely and cost-efficient manner. To be effective, these systems must automate as many repetitive operations as possible and must be flexible enough to meet changing support requirements. The FDF Orbit Determination Task (ODT) has implemented several systems that automate product generation and quality assurance (QA). These systems include the Orbit Production Automation System (OPAS), the New Enhanced Operations Log (NEOLOG), and the Quality Assurance Automation Software (QA Tool). Implementation of these systems has resulted in a significant reduction in required manpower, elimination of shift work and most weekend support, and improved support quality, while incurring minimal development cost. This paper will present an overview of the concepts used and experiences gained from the implementation of these automation systems.

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