Abstract
Construction of an efficient yearlong observing program for the Hubble Space Telescope (HST) requires the ordering of tens of thousands of proposer-specified exposures on a timeline while satisfying numerous coupled constraints. Although manually optimized planning can be performed for short time periods, routine operations will clearly require that most of the planning be done by software. This paper discusses the utility of expert systems techniques for HST planning and scheduling and describes a plan for development of expert system tools which will augment the existing ground system. Additional capabilities provided by these tools will include graphics-oriented plan evaluation, long-range analysis of the observation pool, analysis of optimal scheduling time intervals, constructing sequences of spacecraft activities which minimize operational overhead, and optimization of linkages between observations. Initial prototyping of a scheduler used the Automated Reasoning Tool (ART) running on a Texas Instruments Explorer Lisp workstation.
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