Title :
Automated generation of antenna tracking plans for a deep space communications station
Author :
Estlin, Tara ; Fisher, Forest ; Mutz, Darren ; Chien, Steve
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper describes the application of Artificial Intelligence planning techniques to the problem of antenna track plan generation for a NASA Deep Space Communications Station. The described system enables an antenna communications station to automatically respond to a set of tracking goals by correctly configuring the appropriate hardware and software to provide the requested communication services. To perform this task, the Automated Scheduling and Planning Environment (ASPEN) has been applied to automatically produce antenna tracking plans that are tailored to support a set of input goals. In this paper, we describe the antenna automation problem, the ASPEN planning and scheduling system, how ASPEN is used to generate antenna track plans, the results of several technology demonstrations, and future work utilizing dynamic planning technology
Keywords :
aerospace computing; aerospace control; antennas; planning (artificial intelligence); radionavigation; space communication links; telecommunication control; NASA Deep Space Communications Station; antenna automation; antenna track plan generation; antenna tracking plans; artificial intelligence planning; automated scheduling; communication services; deep space communications station; dynamic planning technology; planning environment; Artificial intelligence; NASA; Radar antennas; Radar tracking; Radio navigation; Space stations; Space technology; Space vehicles; Spaceborne radar; Technology planning;
Conference_Titel :
Aerospace Conference, 1999. Proceedings. 1999 IEEE
Conference_Location :
Snowmass at Aspen, CO
Print_ISBN :
0-7803-5425-7
DOI :
10.1109/AERO.1999.794307
