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

Volume

1

fYear

1999

fDate

1999

Firstpage

351

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace Conference, 1999. Proceedings. 1999 IEEE

Conference_Location

Snowmass at Aspen, CO

Print_ISBN

0-7803-5425-7

Type

conf

DOI

10.1109/AERO.1999.794307

Filename

794307